
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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Experienced in scoping, managing, and facilitating design sprints and workshops with large interdisciplinary teams
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About Saras Analytics
We are a passionate group of engineers, analysts, data scientists, and domain experts building products and offering services to accelerate the adoption of data as a strategic asset.
Our Products
http://sarasanalytics.com/daton">Daton is our ETL platform for analysts and developers. Daton replicates data from SaaS platforms such as Google Analytics, Salesforce, Amazon, and Facebook Ads to cloud data warehouses like Amazon Redshift, Google BigQuery, and Snowflake. Daton consolidates data from a variety of data sources into a data warehouse within minutes and allows analysts to focus on generating insights rather than worrying about building and maintaining a data pipeline.
Visit https://sarasanalytics.com/">https://sarasanalytics.com/
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