Summary:
• This role involves working with various data sources, ensuring data quality, and creating efficient data pipelines for analytics and business intelligence purposes
• Data Engineers at this level are expected to operate with a moderate level of autonomy, demonstrating a good understanding of data engineering principles and practices
Roles & Responsibilities:
- Data Architecture Design:
Collaborate with stakeholders to understand data requirements and design effective data architectures.
Develop and maintain data models, ensuring scalability, performance, and data integrity.
Data Pipeline Development:
Design and implement data pipelines for the extraction, transformation, and loading (ETL) of data from diverse sources.
Optimize and troubleshoot existing data pipelines to ensure efficient and reliable data processing.
Data Quality Assurance:
Implement data quality checks and validation processes to ensure the accuracy and completeness of data.
Work closely with data analysts and data scientists to understand data quality requirements.
Database Management:
Manage databases, including schema design, indexing, and optimization for performance.
Ensure data security, compliance, and privacy standards are maintained.
Tool and Technology Expertise:
Stay abreast of industry trends and emerging technologies in the field of data engineering.
Utilize a variety of data engineering tools and technologies to meet business objectives.
Collaboration and Communication:
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.
Communicate effectively with technical and non-technical audiences, explaining complex concepts in a clear manner.
Documentation:
Maintain comprehensive documentation for data processes, workflows, and data dictionaries.
Ensure documentation is up-to-date and accessible to relevant stakeholders.
Skills:
• Proven experience in data engineering, including designing and implementing data solutions
• Proficiency in programming languages (e.g., Python, SQL) and data manipulation tools
• Familiarity with data storage and processing technologies (e.g., Hadoop, Spark, relational databases)
• Strong problem-solving skills and attention to detail
• Contribute to schema design, indexing, and optimization for performance
• Good communication and interpersonal skills
Responsibilities
Summary:
• This role involves working with various data sources, ensuring data quality, and creating efficient data pipelines for analytics and business intelligence purposes
• Data Engineers at this level are expected to operate with a moderate level of autonomy, demonstrating a good understanding of data engineering principles and practices
Roles & Responsibilities:
- Data Architecture Design:
Collaborate with stakeholders to understand data requirements and design effective data architectures.
Develop and maintain data models, ensuring scalability, performance, and data integrity.
Data Pipeline Development:
Design and implement data pipelines for the extraction, transformation, and loading (ETL) of data from diverse sources.
Optimize and troubleshoot existing data pipelines to ensure efficient and reliable data processing.
Data Quality Assurance:
Implement data quality checks and validation processes to ensure the accuracy and completeness of data.
Work closely with data analysts and data scientists to understand data quality requirements.
Database Management:
Manage databases, including schema design, indexing, and optimization for performance.
Ensure data security, compliance, and privacy standards are maintained.
Tool and Technology Expertise:
Stay abreast of industry trends and emerging technologies in the field of data engineering.
Utilize a variety of data engineering tools and technologies to meet business objectives.
Collaboration and Communication:
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.
Communicate effectively with technical and non-technical audiences, explaining complex concepts in a clear manner.
Documentation:
Maintain comprehensive documentation for data processes, workflows, and data dictionaries.
Ensure documentation is up-to-date and accessible to relevant stakeholders.
Skills:
• Proven experience in data engineering, including designing and implementing data solutions
• Proficiency in programming languages (e.g., Python, SQL) and data manipulation tools
• Familiarity with data storage and processing technologies (e.g., Hadoop, Spark, relational databases)
• Strong problem-solving skills and attention to detail
• Contribute to schema design, indexing, and optimization for performance
• Good communication and interpersonal skills
Salary : Rs. 0.0 - Rs. 17,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Rest Assured, Java, API Automation, Experience of testing applications deployed using Docker, Kubernetes, AWS and Azure. Basic knowledge of cloud is must.
Responsibilities
Rest Assured, Java, API Automation, Experience of testing applications deployed using Docker, Kubernetes, AWS and Azure. Basic knowledge of cloud is must.
Salary : Rs. 1,50,000.0 - Rs. 2,20,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Support professional for AMS(Application Management Support)L1/L2 Support for 10+ applications on treasury , risk, front office etc.
Experience in supporting Windows Applications, Data Management Support
Unix Shell scripting, Well versed with SQL and access database.
Awareness about Power BI
Banking Knowledge
Flexible to work in shifts - Hongkong shifts, weekend support.
ITIL/Agile knowledge(Good to have)
Basic Coding Experience
Responsibilities
Support professional for AMS(Application Management Support)L1/L2 Support for 10+ applications on treasury , risk, front office etc.
Experience in supporting Windows Applications, Data Management Support
Unix Shell scripting, Well versed with SQL and access database.
Awareness about Power BI
Banking Knowledge
Flexible to work in shifts - Hongkong shifts, weekend support.
ITIL/Agile knowledge(Good to have)
Basic Coding Experience
Salary : Rs. 1,00,000.0 - Rs. 1,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
