Data bricks, SQL Developer

Tekskills; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tekskills is seeking an experienced Databricks + SQL Developer to design scalable data platforms using Databricks Lakehouse, Apache Spark, and PySpark. The ideal candidate will have hands-on architecture knowledge and strong SQL skills to develop optimized data pipelines and warehousing solutions.

The role involves collaborating with architects, managing compute clusters, and implementing ETL best practices within an Agile environment. Immediate notice period applies.

Qualifications

• 9+ years experience with IT data engineering, minimum 4 years in Databricks.
• Hands-on expertise in Databricks Lakehouse Architecture, Spark & PySpark.
• Strong SQL and data modeling experience for data warehousing.

Responsibilities

• Design & build scalable data pipelines using Databricks, Apache Spark, PySpark.
• Hands-on work with Databricks Lakehouse Architecture, data modeling & warehousing.
• Manage compute cluster configurations, infra provisioning & workflow creation in Databricks.
• Develop optimized queries using Advanced SQL.
• Participate in Agile ceremonies, write user stories & acceptance criteria.
• Collaborate with architects for solution design & technical guidance.
• Implement performance optimization, ETL best practices & data governance standards.

Skills

Databricks

Databricks Lakehouse

Python / PySpark

Advanced SQL

Data modeling / DWH

Agile / backlog

Cloud knowledge

Delta Lake / Unity Catalog

Data governance

Tools

CI/CD

Job description

Job Details

• Experience Required: 9+ Years (Minimum 4 Years in Databricks )
• Notice Period: Immediate

Job Summary

We are hiring an experienced Databricks + SQL Developer with strong hands-on expertise in Databricks Lakehouse Architecture, Apache Spark, PySpark, and Advanced SQL . Ideal candidate should have solution architecture-level knowledge and experience in designing scalable data platforms.

Key Responsibilities

• Design & build scalable data pipelines using Databricks, Apache Spark, PySpark
• Hands-on work with Databricks Lakehouse Architecture , data modeling & warehousing
• Manage compute cluster configurations , infra provisioning & workflow creation in Databricks
• Develop optimized queries using Advanced SQL
• Participate in Agile ceremonies , write user stories & acceptance criteria
• Collaborate with architects for solution design & technical guidance
• Implement performance optimization, ETL best practices & data governance standards

Required Skills

• 4+ years Databricks (Must)
• Strong understanding of Databricks Lakehouse Architecture
• Deep knowledge of Data Modeling, DWH, Apache Spark Architecture
• Expertise in Python, PySpark, Apache Spark, Advanced SQL
• Experience working in Agile with user stories & backlog management
• Good to Have Azure/AWS/GCP cloud knowledge
• Delta Lake, Unity Catalog, CI/CD exposure
• Data governance & architect-level design experience.