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 :
Gaurav.2.Kumar@coforge.com
WhatsApp : 9667427662 (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.