
AWS Data Engineer Lead
9 hours ago
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.
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