Experience : 10 years

Must Have:
1. Databricks
2. Apache Spark
3. Python(and/or Scala)
4. AWS
5. SQL
6. Java
7. CI/CD Pipeline tools

Minimum Industry experience: 10 years

Job Description:
1. Bachelor s degree or equivalent work experience
2. Must have experience implementing atleast 2 end to end projects with Databricks which includes components like
- Delta lake
- Unity Catalog
- Databricks Connect
- DataBricks API
- Databricks workflow Orchestration
3. Must be well-versed with Databricks Lakehouse concepts and its implementation in large scale enterprise environments
4. Must have good understanding to create complex data pipelines and use of data ingestion tools like nifi
5. Must be well versed in using Apache Spark framework and strong in SQL and spark-sql
6. Must have excellent coding skills in Python(and/or Scala), preferably Python
7. Must have strong performance optimization skills to improve efficiency and reduce cost using techniques like parallel processing
8. Must have worked on AWS and should have working experience of AWS services like S3, Lambda, DynamoDB, SQS, CloudWatch
9. Must be able to work with architects and lead engineers to design solutions to meet functional and non-functional requirements
10. Must have strong written and verbal communication skills
11. Must have experience in an Agile environment
12. Data engineering background is a plus