Aws Data Engineer
1 day ago
Key Responsibilities:
- Design, build, and maintain scalable ETL pipelines using AWS Glue, PySpark, and SQL.
- Develop and optimize data models for Snowflake and other cloud data warehouses.
- Ensure efficient data integration from multiple structured and unstructured sources.
- Work closely with data architects and analysts to define data requirements and best practices.
- Implement data quality, validation, and performance tuning processes.
- Monitor and troubleshoot ETL workflows and ensure high data reliability.
- Mentor junior engineers and review code for best practices and scalability.
Required Skills & Qualifications:
7+ Years of experience is must with at-least 2+ years as lead.
Strong hands-on experience with AWS Glue, Snowflake, PySpark, and ETL Development.
- Expertise in SQL and data modeling (dimensional and relational).
- Solid understanding of data warehousing concepts and cloud data architecture.
- Experience with Python-based data transformations and automation.
- Strong problem-solving skills and ability to work in fast-paced environments.
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