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Data Engineer

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Description

Key Responsibilities

  • Design, develop, and maintain data pipelines for seamless data flow into Snowflake and other storage solutions.
  • Implement ETL/ELT processes using DBT and orchestration tools (e.g., Apache Airflow).
  • Collaborate with data analysts and stakeholders to gather requirements and deliver effective solutions.
  • Optimize and monitor data workflows to ensure efficiency and high performance.
  • Manage and maintain RDBMS databases (with focus on AWS RDS) ensuring reliability and security.
  • Utilize Alteryx for data preparation and advanced analytics.
  • Ensure data quality, integrity, and governance best practices.
  • Document data architecture, pipelines, and workflows for team knowledge sharing.

Skills & Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in data engineering or related roles.
  • Strong proficiency in Snowflake (data modeling, performance optimization).
  • Hands-on experience with DBT (Core/Cloud) in production environments.
  • Advanced SQL skills (complex queries, window functions, CTEs).
  • Familiarity with Apache Airflow, Git, and collaborative workflows.
  • Experience with AWS services (RDS, S3, Event Bridge, Lambda).
  • Familiarity with Alteryx for data preparation and analytics.
  • Strong understanding of RDBMS principles and data warehousing concepts.
  • Excellent problem-solving, communication, and collaboration skills.
  • Experience with Tableau/Power BI and exposure to machine learning frameworks is Preferred.
​Shift Timings:1:00 PM – 10:00 PM IST


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See also

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