Core Technologies
• Apache Spark (Core, Structured Streaming)
• PySpark
• Databricks (AWS/Azure)
• Advanced SQL
DevOps & CI/CD
• Jenkins
• Git/GitHub/Bitbucket
Programming
• Python
• SQL
Cloud & Infrastructure
• AWS (S3, EMR, EC2, IAM, CloudWatch)
• Databricks Runtime & Cluster Management- Preferred
Streaming & Integration
• Apache Kafka
• Snowflake integration (preferred)
• Airflow (preferred)
Preferred Qualification
• Experience in financial services, payouts, or enterprise data platforms.
• Hands-on experience in Delta Lake optimization and incremental processing strategies.
• Experience with Snowflake data warehousing.
• Robust understanding of distributed computing principles.




Key Responsibilities
• Design and develop scalable batch and near-real-time ETL/ELT pipelines using Snowflake (AWS) and Apache Spark (PySpark, Spark SQL, Structured Streaming).
• Build structured streaming pipelines using Kafka and Spark Structured Streaming.
• Design dimensional data models (Fact/Dimension, SCD Type 2).
• Orchestrate pipelines using Databricks Workflows / Apache Airflow.
• Integrate CI/CD pipelines using Jenkins, Git, Bitbucket/GitHub for automated deployment across DEV/UAT/PROD.
PySpark, Jenkins

📌 Technical Leader Pune (India)
🏢 ALTIMETRIK
📍 India