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 using Amazon RDS and DynamoDB
Write efficient, complex SQL queries for data extraction and transformation
Ensure...
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 using Amazon RDS and DynamoDB
Write efficient, complex SQL queries for data extraction and transformation
Ensure...
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