
Job Summary
We are seeking an experienced Databricks Developer with strong skills in PySpark, SQL, Python, and hands-on experience deploying data solutions on AWS (preferred), Azure. The role involves designing, developing, and optimizing scalable data pipelines and analytics workflows on the Databricks platform.
Key Responsibilities
- Develop and optimize ETL/ELT pipelines using Databricks and PySpark.
- Build scalable data workflows on AWS (EC2, S3, Glue, Lambda, IAM) or Azure (ADF, ADLS, Synapse).
- Implement and manage Delta Lake (ACID, schema evolution, time travel).
- Write efficient, complex SQL for transformation and analytics.
- Build and support batch and streaming ingestion (Kafka, Kinesis, EventHub).
- Optimize Databricks clusters, jobs, notebooks, and PySpark performance.
- Collaborate with cross-functional teams to deliver reliable data solutions.
- Ensure data governance, security, and compliance.
- Troubleshoot pipelines and support CI/CD deployments.
Required Skills & Experience
- 4–8 years in Data Engineering / Big Data development.
- Strong hands-on experience with Databricks (clusters, jobs, workflows).
- Advanced PySpark and strong Python skills.
- Expert-level SQL (complex queries, window functions).
- Practical experience with AWS (preferred) or Azure cloud services.
- Experience with Delta Lake, Parquet, and data lake architectures.
- Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins).
- Good understanding of data modeling, optimization, and distributed systems.

About Vy Systems
About
Vy Systems is an accelerating global IT firm serving customers over 2 decades with Tech Consulting, Talent Sourcing, Software Training, IT Management Services and much more.
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