Databricks Engineer

Databricks Engineer: 9+ years of total experience with 5 years relevant experience in the mandatory skills.

• Mandatory Skills:

   Databricks, Hadoop, Python, Spark, Spark SQL, PySpark, AirFlow And IBM StreamSet

Required Skills & Experience:

• Develop Data Engineering and ML pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda to build serverless applications
• Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse).
• Knowledge on medallion architecture, DLT and unity catalog within Databricks.
• Experience in migrating data from on-prem Hadoop to Databricks/AWS
• Understanding of core AWS services, uses, and AWS architecture best practices
• Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
• Solid knowledge on Airflow
• Solid knowledge on CI/CD pipeline in AWS technologies
• Application migration of RDBMS, java/python applications, model code, elastic etc.
• Solid programming background on scala, python, SQL

Work Location

Bangalore