Key Responsibilities

- Design, develop, and maintain robust and scalable ETL pipelines.
- Work with large datasets using big data technologies and frameworks.
- Build and optimize data workflows using PySpark and DBT.
- Develop and manage data models to support analytics and reporting.
- Collaborate with data analysts, data scientists, and cross-functional teams to understand data requirements.
- Ensure data quality, integrity, and performance across systems.
- Deploy and manage data solutions on AWS cloud services.
- Monitor and troubleshoot data pipelines and workflows.

Required Skills

- Strong experience in Data Engineering concepts and practices.
- Hands-on experience with Big Data technologies.
- Proficiency in AWS services (e.g., S3, Glue, Redshift, EMR, Lambda).




- Experience with DBT (Data Build Tool) for data transformation.
- Robust programming skills in PySpark.
- Solid understanding of ETL processes and data pipeline architecture.
- Experience working with relational and non-relational databases.

Preferred Qualifications

- Experience with workflow orchestration tools (e.g., Airflow).
- Knowledge of data warehousing concepts and data modeling.
- Familiarity with CI/CD practices in data engineering.
- Understanding of data governance and security best practices.

📌 Deputy Manager - Data Engineer II (India)
🏢 AxisMaxlife
📍 India