Required Skills
- 9-13 years of experience in Data Engineering.
- Strong hands-on experience with Databricks, PySpark, and Apache Spark.
- Expertise in designing and developing ETL/ELT pipelines and data transformation workflows.
- Experience with AWS services such as S3, Glue, IAM, Lambda, EMR, and Redshift.
- Strong SQL skills and experience with relational databases.
- Positive understanding of Data Lake/Lakehouse architecture and Delta Lake.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of Git, CI/CD practices, and production support.
- Strong performance tuning, troubleshooting, and optimization skills.

Nice to Have
- Kafka, Spark Streaming
- Snowflake, Apache Iceberg, dbt
- Terraform
- AWS or Databricks Certifications

Responsibilities
- Build and maintain scalable data pipelines on Databricks and AWS.
- Develop batch and real-time data processing solutions.
- Collaborate with business and technical teams to deliver data solutions.
- Ensure data quality, governance, security, and operational excellence.
- Optimize Spark workloads and support production environments.

📌 AWS Databricks Lead (Pune)
🏢 wissen technology
📍 Pune