Analytics Engineer

Location
Contract Type
Permanent
Salary
₹ 2,600,000
Published
Contact
Shukla Aditi
Reference
29-16-15444
Academic title
Job description
  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows for large volumes of structured and semi-structured data
  • Develop and optimize data models, tables, and transformations for analytics and reporting
  • Work with large datasets using SQL, PySpark, and modern data platforms to ensure efficient processing
  • Build and manage data workflows using orchestration tools like Apache Airflow
  • Develop automation scripts using Python and Shell scripting for pipeline execution and monitoring
  • Monitor, troubleshoot, and optimize pipelines for performance, scalability, and reliability
  • Collaborate with data scientists, analysts, and business stakeholders to enable data-driven insights.
Requirements
  • Strong proficiency in SQL and Python
  • Experience with distributed data processing frameworks like PySpark
  • Hands-on experience with Databricks
  • Experience in building and managing workflows using Apache Airflow
  • Knowledge of ETL/ELT processes and scalable data pipeline architecture
  • Experience with Shell scripting for automation
  • Strong understanding of data modeling concepts
  • Ability to work with large-scale data systems
Benefits

Work Mode: Hybrid

Other notes
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