Data Engineer – AWS
Recruin
8 - 10 years
Gurugram
Posted: 17/12/2025
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Job Description
Only Immediate Joinees
Responsibilities:
Skills AWS, DE, Airflow
Key Responsibilities
- Design, develop, and maintain data pipelines using AWS services such as Glue, Lambda, Step Functions, EMR, Kinesis, and S3.
- Build and optimize data warehouses and data lakes on AWS (Redshift, Lake Formation).
- Develop ETL/ELT jobs using PySpark, Spark, Python, and AWS native tools.
- Implement best practices for data modeling, partitioning, performance tuning, and data lifecycle management.
- Monitor and troubleshoot production pipelines ensuring high availability and reliability.
- Collaborate with Data Architects, Analysts, and Business SMEs to translate requirements into technical solutions.
- Ensure compliance with security, governance, and architecture standards.
- Work with CI/CD tools for automation, deployment, and version control (CodePipeline, Git, CloudFormation/Terraform).
Required Skills & Experience
- 38 years of experience as a Data Engineer with strong AWS expertise.
- Hands-on experience with:
- AWS Glue (Jobs, Crawlers, Catalog)
- Amazon Redshift / Redshift Spectrum
- Amazon EMR / PySpark / Spark
- AWS Lambda, S3, Athena, Kinesis
- Strong proficiency in Python, PySpark, SQL, and data transformation techniques.
- Experience with data lake, data warehouse, and streaming data architectures.
- Solid understanding of cloud security, IAM, encryption, and networking basics.
- Exposure to DevOps, CI/CD, and infrastructure-as-code tools.
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