Experience in SQL

Strong expertise in Spark SQL

Strong expertise in Python, PySpark, Spark SQL, and SQL for developing scalable data pipelines and ETL processes. Hands on experience with AWS data services including S3, Glue, Redshift, Athena, EMR, Lambda, and IAM. Proficiency in Databricks for data engineering and optimisation, with Databricks certification considered an advantage. Experience with dbt (Data Build Tool) for data transformation, modelling, testing, and documentation. Proven experience migrating data from legacy platforms to AWS, including designing contemporary cloud based data architectures. Knowledge of CI/CD, Infrastructure as Code (Terraform or CloudFormation), Git, and Agile delivery to support automated and reliable deployments.

Robust expertise in Python,



PySpark developing scalable data pipelines and ETL processes.
Hands on experience with AWS data services -Glue

Good to have knowledge with dbt (Data Build Tool) for data transformation, modelling, testing, and documentation.

Positive to have knowledge in Databricks for data engineering and optimization, with Databricks certification considered an advantage.

Pay: From ₹1,200,000.00 per year

Benefits:
Flexible schedule
Health insurance
Leave encashment
Paid sick time
Work from home

Work Location: In person

📌 Sr Data Engineer Pune (India)
🏢 NEURAAL AI SOLUTIONS PRIVATE
📍 India