We are Hiring: AWS Data Engineer Lead at Coforge Ltd.
Job Title: AWS Data Engineer Lead
Company: Coforge Ltd.
Job Location: Pune Only (Onsite)
Experience Required: 10 Years
Employment Type: Full-Time.
Interested candidates can share their updated CV at:
WhatsApp: (for any queries)
Job Description:
Coforge Ltd.
is seeking a highly experienced and skilled AWS Data Engineer Lead to join our team in Pune.
The ideal candidate will have a proven track record of designing, building, and maintaining scalable and reliable data infrastructure and data products in complex enterprise environments.
This is a senior-level role, typically suited for professionals who have served as technical leads on large-scale or multiple mid-sized data projects.
Key Responsibilities:
- Lead the design and development of robust data pipelines and ETL processes using AWS services such as Glue , Athena , and Spark .
- Architect and implement scalable data solutions that support business intelligence, analytics, and machine learning initiatives.
- Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
- Ensure data quality, integrity, and security across all data platforms.
- Optimize performance of data systems and troubleshoot issues in production environments.
- Document data architecture, workflows, and processes for internal and external stakeholders.
- Mentor junior data engineers and contribute to best practices and standards.
Technical Skills Required:-
- Cloud Platforms: Strong hands-on experience with AWS (Glue, Athena, S3, Lambda, etc.)
- Big Data Technologies: Proficiency in Apache Spark , Databricks , and distributed data processing.
- Databases: Experience with at least one RDBMS (e.g., PostgreSQL, MySQL, SQL Server).
- Data Modeling: Expertise in 3NF (Third Normal Form) and Dimensional Data Modeling .
- Programming Languages: Proficiency in SQL , Python , or Scala .
- Version Control & CI/CD: Familiarity with Git, Jenkins, or similar tools is a plus.
Preferred Qualifications:-
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- AWS certifications (e.g., AWS Certified Data Analytics – Specialty) are a strong advantage.
- Experience working in Agile environments and using tools like Jira or Confluence.