Job Title: Data Engineer (SAS + AWS)
Experience:
6–10 Years
Location:
Gurugram, Noida, Pune, Hyderabad, Bengaluru
Role Overview
We are looking for a skilled
Data Engineer
to support the migration of critical data and analytics workflows from legacy
SAS systems to modern AWS-based platforms. The role involves end-to-end
ownership of
analysis, design, and development of scalable data pipelines and structures
.
Key Responsibilities
-
Analyze, refactor, and migrate
SAS-based workflows
to modern data platforms
-
Design and build
data pipelines, connectors, and data models
on AWS
-
Work with
AWS services (Glue, Airflow, S3, Apache Iceberg)
and
Snowflake
-
Perform
gap analysis
on existing data models and define target-state data architecture
-
Ensure high-quality delivery across
design, build, testing, and deployment
-
Leverage
AI tools
for code analysis, migration, and testing (good to have)
-
Collaborate with cross-functional teams to ensure smooth migration and data
accuracy
Required Skills
-
Strong experience in
SAS (code analysis, refactoring, migration)
-
Hands-on with
AWS (Glue, Airflow, S3)
and data pipeline development
-
Proficiency in
SQL and PySpark
-
Experience with
Snowflake and/or Apache Iceberg
-
Solid understanding of
data models, data dictionaries, and ETL processes
Preferred Skills
-
Experience with
data migration or modernization projects
-
Exposure to
AI-assisted engineering tools
-
Domain experience in
banking or financial services
Key Traits
-
Strong problem-solving and analytical skills
-
Ability to work with
complex and fragmented legacy systems
-
Ownership mindset with end-to-end delivery capability
-
Good communication and collaboration skills