ETL Developer

4 weeks ago

Delhi, Delhi, India IntraEdge Full time
Website- Title:
ETL Developer – DataStage, AWS, Snowflake
Experience:
5–7 Years
Location:
(Remote)
Job Type:
(Full-time )
About the Role
We are looking for a talented and motivated ETL Developer / Senior Developer
to join our data engineering team. You will work on building scalable and efficient data pipelines using
IBM DataStage (on Cloud Pak for Data) ,
AWS Glue , and
Snowflake . You will collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.
Key Responsibilities
Design, develop, and maintain
ETL pipelines using IBM DataStage (CP4D)
and
AWS Glue/Lambda
for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc.
Build and optimize data flows for loading curated datasets into
Snowflake , leveraging best practices for schema design, partitioning, and transformation logic.
Participate in
code reviews , performance tuning, and defect triage sessions.
Work closely with data governance teams to ensure
lineage, privacy tagging, and quality controls
are embedded within pipelines.
Contribute to
CI/CD integration
of ETL components using Git, Jenkins, and parameterized job configurations.
Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
Adhere to agile delivery practices, sprint planning, and documentation requirements.
Required Skills and Experience
4+ years
of experience in ETL development with at least
1–2 years in IBM DataStage (preferably CP4D version) .
Hands-on experience with
AWS Glue
(PySpark or Spark) and
AWS Lambda
for event-based processing.
Experience working with
Snowflake : loading strategies, stream-task, zero-copy cloning, and performance tuning.
Proficiency in
SQL ,
Unix scripting , and basic
Python
for data handling or automation.
Familiarity with
S3 , version control systems (Git), and job orchestration tools.
Experience with
data profiling, cleansing, and quality validation
routines.
Understanding of
data lake/data warehouse architectures
and DevOps practices.
Good to Have
Experience with
Collibra, BigID , or other metadata/governance tools
Exposure to
Data Mesh/Data Domain models
Experience with agile/Scrum delivery and Jira/Confluence tools
AWS or Snowflake certification is a plus

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