Minimum Qualifications
Bachelor’s Degree in computer science or engineering; or equivalent technical training and experience.
5+ years of experience building and deploying large-scale data processing pipelines.
5+ years of experience with AWS, Spark with Python/Scala, SQL with Redshift, Postgre SQL and Columnar Databases
5+ years of experience with Workflow & pipeline systems with Airflow.
Experience in Databricks
Experience in GIT
Preferred Qualifications
Master’s Degree in computer science, computer engineering, IT or another related field of study.
8+ years of experience in Data & Analytics
Experience with message-based, loosely coupled architectures (e.g. Kafka).
Experience developing systems intended for cloud deployments (AWS, EKS, lambda’s, etc.). DevOps experience. Experience with analytics platforms like Looker or Tableau.
Experience in DevOps orchestration tools
Databricks Certified Data Engineer Professional certification
The Senior Data Engineer works on different projects of data engineering to support the use cases, data ingestion pipeline and identify potential process or data quality issues. This role also partners with the data science team on special projects related to model development and deployment framework. The Sr Data Engineer team supports marketing analytic teams with analytical tools that enable our analytics and business communities to do their job easier, faster and smarter. The team brings together data from different internal & external partners and builds a curated Marketing analytics focused data & tools ecosystem. The Sr Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need.
Essential Job Functions
Builds data pipeline for various data sources, particularly from many external data sources. Works with other project team members to understand the use cases, familiar with data sources, provides recommendation on data ingestion processes, complete data ingestion, monitor and identify potential process or data quality issues. - (15%)
Collaborates with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules. Collaborates with business users, business analysts and technical architects in transforming business requirements into analytical workbenches, tools and dashboards reflecting usability best practices and current design trends. - (15%)
Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team. Accesses, extracts, and transforms Credit and Retail data from a variety of sources of all sizes (including client marketing databases, 2nd and 3rd party data) using Hadoop, Spark, SQL, Big data technologies etc. - (10%)
Provides automation help to analytical teams around data centric needs using orchestration tools, SQL and possibly other big data/cloud solutions for efficiency improvement. - (5%)
Supports Lead Data Engineer and Principal Data Engineer in new analytical proof of concepts and tool exploration projects. Effectively manages time and computing resources in order to deliver on time/correctly on concurrent projects. Involved in creating POCs to ingest and process streaming data using Spark and HDFS. - (10%)
Answers and trouble shoots questions about data sets and analytical tools; Develops, maintains and enhances new and existing analytics tools/Frameworks to support internal customers/consumers. Design, develop and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources. - (10%)
Create automation systems and tools to configure, monitor, and orchestrate our data infrastructure and our data pipelines. Ingests data from different sources, processes it according to the requirement document in order to store data to Hive or NoSQL database or different warehousing solutions. Involved in HDFS maintenance, and loading of structured and unstructured data. - (10%)
Evaluate new technologies for continuous improvements in Data Engineering. Collaborate closely with the product team to build out new data features. Work with the data analysts and scientists to implement descriptive, forecasting, and predictive algorithms and models using the latest technologies. Make technology decisions for our data infrastructure. - (10%)
Consistently write production-ready code that is easily testable, easily understood by other developers, and accounts for edge cases and errors. Use systematic debugging to diagnose all issues located to a single service as well as cross service issues. Approach all engineering work with a security lens. Actively look for security vulnerabilities in the code and when providing peer reviews. - (10%)
Provide technical leadership and guidance to junior team members, fostering a collaborative environment for continuous learning and innovation. Translate complex technical subjects for diverse audiences, ensuring alignment and understanding across technical and non-technical stakeholders. - (5%)
Responsibilities
Minimum Qualifications
Bachelor’s Degree in computer science or engineering; or equivalent technical training and experience.
5+ years of experience building and deploying large-scale data processing pipelines.
5+ years of experience with AWS, Spark with Python/Scala, SQL with Redshift, Postgre SQL and Columnar Databases
5+ years of experience with Workflow & pipeline systems with Airflow.
Experience in Databricks
Experience in GIT
Preferred Qualifications
Master’s Degree in computer science, computer engineering, IT or another related field of study.
8+ years of experience in Data & Analytics
Experience with message-based, loosely coupled architectures (e.g. Kafka).
Experience developing systems intended for cloud deployments (AWS, EKS, lambda’s, etc.). DevOps experience. Experience with analytics platforms like Looker or Tableau.
Experience in DevOps orchestration tools
Databricks Certified Data Engineer Professional certification
The Senior Data Engineer works on different projects of data engineering to support the use cases, data ingestion pipeline and identify potential process or data quality issues. This role also partners with the data science team on special projects related to model development and deployment framework. The Sr Data Engineer team supports marketing analytic teams with analytical tools that enable our analytics and business communities to do their job easier, faster and smarter. The team brings together data from different internal & external partners and builds a curated Marketing analytics focused data & tools ecosystem. The Sr Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need.
Essential Job Functions
Builds data pipeline for various data sources, particularly from many external data sources. Works with other project team members to understand the use cases, familiar with data sources, provides recommendation on data ingestion processes, complete data ingestion, monitor and identify potential process or data quality issues. - (15%)
Collaborates with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules. Collaborates with business users, business analysts and technical architects in transforming business requirements into analytical workbenches, tools and dashboards reflecting usability best practices and current design trends. - (15%)
Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team. Accesses, extracts, and transforms Credit and Retail data from a variety of sources of all sizes (including client marketing databases, 2nd and 3rd party data) using Hadoop, Spark, SQL, Big data technologies etc. - (10%)
Provides automation help to analytical teams around data centric needs using orchestration tools, SQL and possibly other big data/cloud solutions for efficiency improvement. - (5%)
Supports Lead Data Engineer and Principal Data Engineer in new analytical proof of concepts and tool exploration projects. Effectively manages time and computing resources in order to deliver on time/correctly on concurrent projects. Involved in creating POCs to ingest and process streaming data using Spark and HDFS. - (10%)
Answers and trouble shoots questions about data sets and analytical tools; Develops, maintains and enhances new and existing analytics tools/Frameworks to support internal customers/consumers. Design, develop and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources. - (10%)
Create automation systems and tools to configure, monitor, and orchestrate our data infrastructure and our data pipelines. Ingests data from different sources, processes it according to the requirement document in order to store data to Hive or NoSQL database or different warehousing solutions. Involved in HDFS maintenance, and loading of structured and unstructured data. - (10%)
Evaluate new technologies for continuous improvements in Data Engineering. Collaborate closely with the product team to build out new data features. Work with the data analysts and scientists to implement descriptive, forecasting, and predictive algorithms and models using the latest technologies. Make technology decisions for our data infrastructure. - (10%)
Consistently write production-ready code that is easily testable, easily understood by other developers, and accounts for edge cases and errors. Use systematic debugging to diagnose all issues located to a single service as well as cross service issues. Approach all engineering work with a security lens. Actively look for security vulnerabilities in the code and when providing peer reviews. - (10%)
Provide technical leadership and guidance to junior team members, fostering a collaborative environment for continuous learning and innovation. Translate complex technical subjects for diverse audiences, ensuring alignment and understanding across technical and non-technical stakeholders. - (5%)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Lead Software Engineer - (25000P5X)
Missions
Skills required:
· Experience with frontend stack React/Angular/Typescript
· Comfortable with backend SpringBoot, Java and tools like Git, Jira, etc
· Knowledge of Docker, Kubernetes and Azure
· Software craftmanship and practice agility/DevOps (TDD, BDD, DDD)
Profile
Skills required
Expert with frontend development stack React/Angular/Typescript
Good experience with backend technologies like Java and SpringBoot with Knowledge of tools like Git, Jira, etc
Unit, E2E testing for the frontend Dev stack,
Knowledge of Docker, Kubernetes and Azure is added advantage
Software craftmanship and practice agility/DevOps (TDD, BDD, DDD)
Within the SG Markets perimeter, he/she will be required to:
Design solutions via software craftmanship (behaviour driven development, test driven development, continuous delivery, etc.) and contribute to the development of the SG Markets platform
Define the software architecture with Product Owners, Business Analysts and Application Architects
Collaborate with Product Owners to manage the application's technical backlog
Code and ensure the quality of your team's delivery
Actively participate in production releases
Participate in continuous improvement (technical, organizational and process)
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
SAP SD-
SAP Sales and Distribution solutions while managing the entire Order-to-Cash (O2C) cycle from customer order to final payment. You must have a proven track record of driving at least two to three full life-cycle SAP implementations from initial blue-printing through to go-live and support. Your daily responsibilities will include configuring critical sales, delivery, and billing processes, managing complex master data, and building seamless integrations with other key modules like Materials Management (MM), Finance (FI), and Warehouse Management (WM)
Responsibilities
SAP SD-
SAP Sales and Distribution solutions while managing the entire Order-to-Cash (O2C) cycle from customer order to final payment. You must have a proven track record of driving at least two to three full life-cycle SAP implementations from initial blue-printing through to go-live and support. Your daily responsibilities will include configuring critical sales, delivery, and billing processes, managing complex master data, and building seamless integrations with other key modules like Materials Management (MM), Finance (FI), and Warehouse Management (WM)
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
