Data Engineer
1 week ago
Role : Data Engineer
Location : Remote
Exp : 5 to 9 years
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using PySpark, SQL, and Python.
- Work with AWS data services (Glue, Redshift, S3, Athena, EMR, Lambda, etc.) to manage large-scale data processing.
- Implement data ingestion, transformation, and integration from multiple structured/unstructured data sources.
- Optimize query performance and ensure data quality, consistency, and reliability across pipelines.
- Collaborate with Data Scientists, Analysts, and Business stakeholders to enable data-driven decision-making.
- Implement best practices for data governance, security, and compliance. Monitor, troubleshoot, and improve pipeline performance in production.
Required Skills & Qualifications
- 5 years of professional experience in data engineering or big data technologies.
- Strong programming skills in Python and expertise in PySpark (RDD/DataFrame/SQL APIs).
- Strong experience in SQL (query optimization, joins, window functions, stored procedures).
- Hands-on experience with AWS data services (S3, Glue, Athena, Redshift, EMR, Lambda, IAM).
- Solid understanding of data modeling, ETL/ELT concepts, and data warehouse design.
- Experience with version control (Git), CI/CD pipelines, and Agile methodologies.
- Strong problem-solving and debugging skills.
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