Data Engineer (ETL)
Relevantz Technology Services8+ yrsChennaiOn-siteDirect career pageEst. 14–26 LPA
Posted 29d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end ETL development and deployment on AWS with focus on PySpark scripting and AWS services like S3, Lambda, SNS, Cloud Step Functions.
- Operate as an individual contributor responsible for building and maintaining data pipelines, including data lakes and delta table configurations.
- Optimize data transformation processes for performance and cost while ensuring data governance, lineage, and metadata management principles are followed.
Minimum Requirements
- 8+ years of experience in ETL development with at least 4 years using AWS PySpark scripting.
- Strong hands-on knowledge of PySpark and Python libraries such as NumPy and Pandas.
- Experience deploying AWS-based data solutions utilizing services like S3, Lambda, SNS, and Cloud Step Functions; sound knowledge of AWS services required.
- Work Experience Required: 8+ years in ETL development with AWS focus.
Ideal Candidate Profile
- Experienced individual contributor comfortable with end-to-end AWS data integration frameworks and orchestration (e.g., MWAA/Airflow).
- Skilled in managing large-scale data transformations involving semi-structured and structured data, with an understanding of data lakes and delta table architectures.
- Proactive in computing and cost optimization strategies within cloud data environments, with knowledge of metadata management and data governance frameworks.