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Data Engineer
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Data Engineer

Kalki K's profile picture
Posted by Kalki K
4 - 12 yrs
₹18L - ₹28L / yr
Remote only
Skills
databricks
skill iconAmazon Web Services (AWS)
SQL
skill iconPython
PySpark

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.

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About Vy Systems

Founded :
2000
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

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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Gobinath Sundaram

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