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Urgent! ETL and Data Pipeline Engineer Job Opening In India, India – Now Hiring Qruize Inc

ETL and Data Pipeline Engineer



Job description

We are looking for a skilled Data Engineer with strong hands-on experience in Python coding, AWS cloud services, and SQL (stored procedures).


The selected candidate will work on designing, building, and optimizing scalable data solutions and pipelines.


Key Responsibilities:

  • Develop and maintain data pipelines and ETL workflows using Python.
  • Write and optimize SQL queries and stored procedures for data processing.
  • Implement and manage data pipelines on AWS services such as S3, Lambda, Glue, and Redshift.
  • Collaborate with analytics and business teams to deliver high-quality data solutions.
  • Ensure data accuracy, reliability, and performance.
  • Troubleshoot and optimize data workflows and performance bottlenecks.


Required Skills:

  • Strong expertise in Python (Pandas, NumPy, PySpark, etc.)
  • Excellent knowledge of SQL and experience with stored procedures.
  • Hands-on experience with AWS cloud platforms.
  • Experience in ETL development, data integration, and data warehousing.
  • Good understanding of data architecture and data modeling.


Preferred Skills:

  • Exposure to Airflow, Snowflake, or Databricks.
  • Knowledge of API integration, JSON/XML, and version control tools (e.G., Git).


Required Skill Profession

Computer Occupations



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