Data Engineer - Python/SQL/ETL

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Job Summary

Key Responsibilities

• Design, build, and maintain robust and scalable ETL/ELT pipelines.
• Work with structured and unstructured data from multiple sources using AWS services like S3, Redshift, Glue, and Lambda.
• Develop data integration and transformation workflows using Python and SQL.
• Optimize and manage Snowflake data warehouse performance, including data loading, partitioning, and query tuning.
• Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver clean, reliable datasets.
• Ensure data quality, governance, and security across all stages of the pipeline.
  

Required Skills

• 512 years of experience in Data Engineering or a similar role
• Strong knowledge of SQL and relational databases
• Hands-on experience with AWS data services (e.g., S3, Redshift, Glue, Lambda)
• Proficiency in Python for scripting, automation, and data processing
• Experience working with Snowflake data loading, transformation, optimization
• Solid understanding of data warehousing concepts and best practices
  

Preferred Qualifications

• Experience with data orchestration tools (e.g., Airflow, AWS Step Functions)
• Familiarity with CI/CD and version control tools (e.g., Git)
• Understanding of data governance, privacy, and security principles
• Strong communication and problem-solving skills
  

What We Offer

• Remote work model with flexibility across major cities in India.
• Competitive salary with performance-based bonuses.
• Opportunity to work on modern data architecture and scalable solutions.