Data Engineer (Python + SQL)

Must Have:

• 5+ years of professional experience in data engineering or a related field.
• Strong proficiency in SQL, including performance tuning and writing complex queries.
• Advanced Python skills, especially for data manipulation (e.g., Pandas, PySpark, or similar).
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery, etc.).
• Working knowledge of a BI tool such as Power BI, Tableau, or Looker.
• Solid understanding of data modeling, data lakes, and data pipelines.
• Familiarity with version control (e.g., Git) and CI/CD practices.
• Strong problem-solving skills and the ability to work independently or within a team.

Job Description:

• Design, develop, and maintain robust ETL/ELT pipelines using SQL and Python. Optimize and troubleshoot complex SQL queries to ensure high performance and scalability.
• Build and maintain data models and data marts to support business analytics and decision- making.
• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver effective data solutions.
• Ensure data quality, integrity, and governance across all data sources and pipelines. Automate data workflows and assist in deployment of analytics products.
• Develop and publish dashboards and reports using BI tools such as Power BI, Tableau, or Looker.
• Maintain documentation related to data architecture, pipeline workflows, and schemas.

Job Types: Full-time, Permanent

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person