Job Description
Job Title:
Data Engineer
Experience:
4–6 years
Location:
Gurugram
About the Role
We are seeking a skilled
Data Engineer with 4–6 years
of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in
PySpark, Python, SQL, and AWS services including DynamoDB, Lambda, SQS, Glue, and RDS.
You will work closely with data analysts, data scientists, and cross-functional teams to enable efficient data processing and analytics.
Key Responsibilities
Design, develop, and optimize scalable
ETL/ELT data pipelines
using
PySpark and Python
Build and maintain data workflows using
AWS Glue
Develop and manage serverless data processing solutions using
AWS Lambda
Implement messaging and event-driven architectures using
Amazon SQS
Design and manage databases usi...
Data Engineer
Experience:
4–6 years
Location:
Gurugram
About the Role
We are seeking a skilled
Data Engineer with 4–6 years
of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in
PySpark, Python, SQL, and AWS services including DynamoDB, Lambda, SQS, Glue, and RDS.
You will work closely with data analysts, data scientists, and cross-functional teams to enable efficient data processing and analytics.
Key Responsibilities
Design, develop, and optimize scalable
ETL/ELT data pipelines
using
PySpark and Python
Build and maintain data workflows using
AWS Glue
Develop and manage serverless data processing solutions using
AWS Lambda
Implement messaging and event-driven architectures using
Amazon SQS
Design and manage databases usi...
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