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Google Data Engineering Role Descriptions: Skills and Experience 4 to 6 years of relevant industry experience in analytics-focused roles.Degree in an applied quantitative field (data science| mathematics| statistics| engineering| economics| business management| computer science| or related).Understanding of marketing campaigns| objectives| and measurement techniques prior experience in digital agency or consulting preferred.Proficient coding skills in statistical software (R| Python| SciPy)| programming languages (SQL| Python)| and MS Office tools (especially advanced ExcelGoogle Sheets).Experience in owning and delivering analytics projects| including correlation| regression| significance testing| AB tests| and supervised machine learning.Practical understanding of data science techniques| statistical analysis| and modeling.Passion for data analysis| troubleshooting data anomalies| integrating data from multiple sources to create repositories for data science models.Ability to transform raw data into actionable business insights for decision-making and strategic planning.Strong logical thinking| problem-solving| and stakeholder management skills.Excellent verbal and written communication skills.Adherence to quality standards and ability to plan and prioritize work.Experience using or building reports with business intelligence tools is a plus.Experience in applying big data| statistics| and analytical techniques to solve client problems is preferred.Business acumen to provide actionable strategic recommendations is preferred Essential Skills: Skills and Experience 4 to 6 years of relevant industry experience in analytics-focused roles.Degree in an applied quantitative field (data science| mathematics| statistics| engineering| economics| business management| computer science| or related).Understanding of marketing campaigns| objectives| and measurement techniques prior experience in digital agency or consulting preferred.Proficient coding skills in statistical software (R| Python| SciPy)| programming languages (SQL| Python)| and MS Office tools (especially advanced ExcelGoogle Sheets).Experience in owning and delivering analytics projects| including correlation| regression| significance testing| AB tests| and supervised machine learning.Practical understanding of data science techniques| statistical analysis| and modeling.Passion for data analysis| troubleshooting data anomalies| integrating data from multiple sources to create repositories for data science models.Ability to transform raw data into actionable business insights for decision-making and strategic planning.Strong logical thinking| problem-solving| and stakeholder management skills.Excellent verbal and written communication skills.Adherence to quality standards and ability to plan and prioritize work.Experience using or building reports with business intelligence tools is a plus.Experience in applying big data| statistics| and analytical techniques to solve client problems is preferred.Business acumen to provide actionable strategic recommendations is preferred

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role : Google Data Engineering

Job Description

Java Springboot| Microservices| Serverless

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role : Java Springboot| Microservices| Serverless

Job Description

Job Description - Analyst - EMEA Bernstein Accounting (25000OKZ) Analyst - EMEA Bernstein Accounting - (25000OKZ) Missions Duties · Should have strong knowledge of financial securities and markets (Global Markets) · Should be able to perform Cash reconciliation, follow up on any breaks and unreconciled items until it is cleared. · Escalate unresolved issues to management as required. · To prepare vouchers, raising invoices and input accounting entries. · Basic understanding of Month-end Substantiation. · Actively manage the controls so that there is no financial / reputational damage. · Basic understanding on accounting process and trade lifecycle. · Document any updates or changes to formal procedures and process. · Ability to liaise with various internal stakeholders, namely FO Traders, PCG, Risk, Accounting & Rec, and other MO teams. · Ensure timely resolution of process issues, queries, and escalations. · Identify process improvement opportunities/projects. · Assist in technology revamp projects, testing the release of new systems/enhancements. · Ensure that policies, procedures, best practices, mission, and objectives set by management are adhered to. · Ad-hoc duties that may be assigned by team lead/management. Profile Duties · Should have strong knowledge of financial securities and markets (Global Markets) · Should be able to perform Cash reconciliation, follow up on any breaks and unreconciled items until it is cleared. · Escalate unresolved issues to management as required. · To prepare vouchers, raising invoices and input accounting entries. · Basic understanding of Month-end Substantiation. · Actively manage the controls so that there is no financial / reputational damage. · Basic understanding on accounting process and trade lifecycle. · Document any updates or changes to formal procedures and process. · Ability to liaise with various internal stakeholders, namely FO Traders, PCG, Risk, Accounting & Rec, and other MO teams. · Ensure timely resolution of process issues, queries, and escalations. · Identify process improvement opportunities/projects. · Assist in technology revamp projects, testing the release of new systems/enhancements. · Ensure that policies, procedures, best practices, mission, and objectives set by management are adhered to. · Ad-hoc duties that may be assigned by team lead/management.

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Analyst - EMEA Bernstein Accounting

Job Description

Missions 1. Accountabilities · Perform Pre-Matching and Fails Management by adhering to the market and settlement deadlines of specific markets. · Investigate, perform root cause analysis, and fix to match Depot and Nostro breaks. · Understand and meet operational KPIs and SLAs of the scope of functions and services to the client. · Keep abreast of the new changes in the market’s rules. · Ensure up to date standard operating procedures. · Performance management - Self. 2. Activity Monitoring / Challenges · Play active role in identifying and implementing process improvements. · Ensure timely completion of the market specific tasks. · Endeavour to learn as many markets as possible. · 121 with the team leaders to track self performance and identify areas of improvement. · Complete daily checklist in timely manner. · Ensure that the process documents are up to date and capture all new updates in the market. · Fluctuating volume. · Day today issues. 3. Key Performance Indicators · Feedback from Client / Team Leaders · Process improvements identified and implemented · Daily checklist · Ad hoc basis, as and when there is any change in the market rules Profile 1. Accountabilities · Perform Pre-Matching and Fails Management by adhering to the market and settlement deadlines of specific markets. · Investigate, perform root cause analysis, and fix to match Depot and Nostro breaks. · Understand and meet operational KPIs and SLAs of the scope of functions and services to the client. · Keep abreast of the new changes in the market’s rules. · Ensure up to date standard operating procedures. · Performance management - Self. 2. Activity Monitoring / Challenges · Play active role in identifying and implementing process improvements. · Ensure timely completion of the market specific tasks. · Endeavour to learn as many markets as possible. · 121 with the team leaders to track self performance and identify areas of improvement. · Complete daily checklist in timely manner. · Ensure that the process documents are up to date and capture all new updates in the market. · Fluctuating volume. · Day today issues. 3. Key Performance Indicators · Feedback from Client / Team Leaders · Process improvements identified and implemented · Daily checklist · Ad hoc basis, as and when there is any change in the market rules

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Senior Analyst - APAC Bernstein Settlements 

Job Description

Azure Databricks Engineer Platform & Infrastructure \Role Descriptions: Azure Databricks Engineer Platform & Infrastructure: Oversee Databricks platform configuration| resource management| workspace structuring| and cluster optimization. Monitor and troubleshoot performance issues across clusters| jobs| notebooks| and pipelines. Implement governance| security| compliance and data access control using Role-Based Access Control (RBAC) and Unity Catalog. Pipeline Development & Architecture: Design and implement end-to-end data pipelines using PySpark| SQL| and Delta Lake within a medallion architecture using Data factory And Data bricks. Build real-time and batch DLT pipelines using Databricks Delta Live Tables with a focus on reliability and scalability. Optimize Lakehouse architecture for performance| cost-efficiency| and data integrity. Automate data ingestion| transformation| and validation| including support for streaming (Autoloader) and scheduled workflows. Perform data transformations| cleansing and validations using data quality rules for consistent and accurate data sets. Manage and monitor job orchestration| ensuring efficient pipelines run and reliability.CI/CD & DevOps: Design and maintain CI/CD pipelines for Databricks artifacts (notebooks| jobs| libraries) using tools such as Azure DevOps| GitHub Actions| Terraform or Jenkins. Support trunk-based development| deployment workflows| and infrastructure-as-code practices. Manage version control and automated testing using Git and related DevOps practices. Collaboration & Delivery: Collaborate with product owners| business stakeholders| and data teams to gather requirements and translate them into technical solutions. Drive the adoption of best practices in coding| versioning| testing| deployment| monitoring| and security. Provide thought leadership on the best practices in Data Engineering| Architecture and Cloud Computing. Performance Optimization: Deliver optimized spark jobs and SQL queries for large scale data processing. Implement partitioning| caching and indexing strategies to improve performance and scalability of big data workloads. Conduct POCs for capacity planning and recommend appropriate infrastructure optimizations for cost effectiveness. Documentation & Knowledge Sharing: Created detailed documentations and review them for data workflows| SOPs| Architectural reviews etc. Mentor junior team members and promote a culture of learning and innovation. Promote the culture of optimization and cost saving and enable research driven development. Location: Bangalore, KA Required Qualifications: Technical Expertise:5+ years in data engineering| with a strong focus on Databricks and Azure ecosystems. Deep hands-on experience with Data Factory| Databricks Lakehouse Architecture| Delta Lake| PySpark| and Spark job optimization. Proficiency in Python| SQL| and optionally Scala for building scalable ETL/ELT pipelines. Strong SQL skills are essential| with hands-on experience in SQL Server o Essential Skills: Azure Databricks Engineer Platform & Infrastructure: Oversee Databricks platform configuration| resource management| workspace structuring| and cluster optimization. Monitor and troubleshoot performance issues across clusters| jobs| notebooks| and pipelines. Implement governance| security| compliance and data access control using Role-Based Access Control (RBAC) and Unity Catalog. Pipeline Development & Architecture: Design and implement end-to-end data pipelines using PySpark| SQL| and Delta Lake within a medallion architecture using Data factory And Data bricks. Build real-time and batch DLT pipelines using Databricks Delta Live Tables with a focus on reliability and scalability. Optimize Lakehouse architecture for performance| cost-efficiency| and data integrity. Automate data ingestion| transformation| and validation| including support for streaming (Autoloader) and scheduled workflows. Perform data transformations| cleansing and validations using data quality rules for consistent and accurate data sets. Manage and monitor job orchestration.

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Azure Databricks Engineer Platform & Infrastructure

Job Description

As a Quality Engineering Lead, you will lead a team of quality engineers, guiding them through the complexities of multi-disciplinary team planning and ecosystem integration. Your typical day will involve collaborating with various stakeholders to ensure the delivery of high-quality applications, while applying your business and functional knowledge to develop comprehensive testing strategies. You will focus on enhancing the quality processes and methodologies, ensuring that the testing lifecycle is efficient and effective, ultimately driving quality across the application lifecycle. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate training and mentorship for junior team members to enhance their skills and knowledge. - Continuously evaluate and improve testing processes to ensure alignment with industry best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire ClaimCenter QA. - Strong understanding of quality assurance methodologies and testing frameworks. - Experience with automated testing tools and frameworks. - Ability to analyze and interpret complex data to inform testing strategies. - Familiarity with defect tracking and test management tools. Additional Information: - The candidate should have minimum 5 years of experience in Guidewire ClaimCenter QA. - This position is based at our Bengaluru office. - A 15 years full time education is required."

Responsibilities

As a Quality Engineering Lead, you will lead a team of quality engineers, guiding them through the complexities of multi-disciplinary team planning and ecosystem integration. Your typical day will involve collaborating with various stakeholders to ensure the delivery of high-quality applications, while applying your business and functional knowledge to develop comprehensive testing strategies. You will focus on enhancing the quality processes and methodologies, ensuring that the testing lifecycle is efficient and effective, ultimately driving quality across the application lifecycle. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate training and mentorship for junior team members to enhance their skills and knowledge. - Continuously evaluate and improve testing processes to ensure alignment with industry best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Guidewire ClaimCenter QA. - Strong understanding of quality assurance methodologies and testing frameworks. - Experience with automated testing tools and frameworks. - Ability to analyze and interpret complex data to inform testing strategies. - Familiarity with defect tracking and test management tools. Additional Information: - The candidate should have minimum 5 years of experience in Guidewire ClaimCenter QA. - This position is based at our Bengaluru office. - A 15 years full time education is required."
  • Salary : Rs. 0.0 - Rs. 21,00,000.0
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role : Quality Engineering Lead

Job Description

Missions Responsibilities: ACE can help you write this job description (go/ACE) · Should have knowledge on Primary Markets or Secondary markets · Knowledge of different Primary Issuance events and Settlements (IPO, Coupons & Redemptions) and different products (Equity & Fixed Income) · Coordinate with respective Front Office & Middle Office to ensure the bookings are right for BO processing · Notify all the respective stakeholders of all incoming Primary Issuance events · Timely settlement of the events related to Primary Issuance · To ensure payment/receipts for all the Primary events are performed within the timelines · Follow up and analyse all cash & stocks discrepancies and perform daily reconciliation · Respond promptly to FO, MO, and all the respective stakeholder’s requests. · Improve BO processes. · Assist and test the release of new information systems. · Ensure that policies, procedures, best practices, mission, and objectives set by management are adhered to on daily discharge of duties. · Ad-hoc duties that may be assigned by management. Profile Required: ACE can help you write this job description (go/ACE) Profile Minimum 1 – 3 years’ experience in Equities/Bonds Back Office Settlements process, preferably primary markets Meticulous, discipline and possess good working attitude. Able to handle work pressures and adhered to deadlines. Team player with excellent communication skills Good knowledge of MS Office applications

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Analyst-Primary Issuance

Job Description

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and processes.- Familiarity with cloud platforms such as AWS or Azure.- Knowledge of data warehousing concepts and technologies. Additional Information: - The candidate should have minimum 2 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required.

Responsibilities

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and processes.- Familiarity with cloud platforms such as AWS or Azure.- Knowledge of data warehousing concepts and technologies. Additional Information: - The candidate should have minimum 2 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required.
  • Salary : Rs. 0.0 - Rs. 1,10,000.0
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Data Engineer

Job Description

Job Description - Analyst - Reconciliation (25000P53) Analyst - Reconciliation - Missions MAJOR ACCOUNTABILITIES/PRINCIPAL RESPONSIBILITIES: · Responsible for daily Reconciliation, Investigation & Reporting for the related entity meeting the specified SLA. · Responsible for month end closing process for the business within the strict deadlines. · Investigate and find the permanent resolutions for the breaks/operational issues. · Identify and implement the new quality checks to have better control over the accounting books. · Participate in the integration of new APTP correspondent business where they directly impact on the functions and services provided by the Bangalore APTP team. This might specifically involve: o Documentation of changes to policies and procedures, training needs o Involvement in testing and dress rehearsal migrations · Participate in process training of the team members as requested and manage their daily activities in the process according to specified guidelines. · To ensure a good working environment is provided within the team; assisting the team members in their daily activities and provide BAU in their absence · Own all the process related documents including PPP’s and ensure they are regularly updated Own and manage knowledge sharing sessions with in the team Profile FUNCTIONAL SKILLS & KNOWLEDGE REQUIRED: · Knowledge and hands on experience of key markets (Mature and Complex) · Good communication skills (verbal and written) · Customer focus · Analytical Skills Business Insight At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us! Still hesitating? You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.

Responsibilities

  • Salary : As per industry standard.
  • Industry :IT-Software / Software Services
  • Functional Area : IT Software - Application Programming , Maintenance
  • Role Category :Programming & Design
  • Role :Analyst - Reconciliation