Mumbai, Maharashtra-22, India-101 Full Time 7–10 yrs
Cloud BI Solutions Python SQL DevOps DataOps PySpark

About the role

The Data Engineer will be responsible for designing and implementing scalable data solutions to support business intelligence initiatives. This role requires expertise in cloud BI solutions and a strong background in data engineering practices.

Key responsibilities

  • Develop and maintain cloud-based BI solutions to optimize data processing and reporting.
  • Write and optimize complex SQL queries for data extraction and manipulation.
  • Utilize Python and PySpark for data transformation and integration tasks.
  • Implement DevOps and DataOps practices to streamline data workflow and deployment.
  • Collaborate with data scientists and analysts to ensure data availability and integrity.
  • Monitor and troubleshoot data pipelines to ensure high performance and reliability.
  • Document data architecture and processes for future reference and compliance.

Required qualifications

  • 7-10 years of experience in data engineering or related field.
  • Proficiency in cloud BI solutions (e.g., AWS, Azure, Google Cloud).
  • Strong programming skills in Python and experience with PySpark.
  • Extensive experience with SQL and database management systems.
  • Knowledge of DevOps and DataOps methodologies.

Nice to have

  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with machine learning concepts and frameworks.
  • Understanding of data governance and compliance standards.

Create a free OnJob profile to apply and see your AI match score before you apply. · Posted 8 Jul 2026.

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