Databricks Engineer (Immediate Joiners Only- 3 to 15 Years)

Databricks Engineer / Consultant

About GyanSys

GyanSys is a global systems integrator and technology consulting company that helps enterprises accelerate digital transformation through SAP, Cloud, Data & Analytics, AI, and Intelligent Automation solutions. We partner with leading technology providers to deliver innovative, scalable, and business-driven solutions across diverse industries worldwide.

Databricks Engineer / Consultant

Location: Bengaluru | Pune | Hyderabad

Employment Type: Full-Time

Job Summary

GyanSys is looking for skilled Databricks Engineers/Consultants to join our growing Data & Analytics practice. The ideal candidate will have hands-on experience in designing, developing, and optimizing scalable data engineering solutions using the Databricks Lakehouse Platform. You will work closely with solution architects, business stakeholders, and cross-functional teams to build robust data pipelines that support enterprise analytics, reporting, and AI initiatives.

Key Responsibilities

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• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and PySpark.
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• Build and optimize data pipelines for structured, semi-structured, and unstructured data.
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• Develop data transformation workflows using Databricks Notebooks, Spark SQL, and Delta Lake.
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• Optimize Spark jobs and Databricks clusters for performance and cost efficiency.
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• Integrate data from multiple enterprise sources, including databases, APIs, cloud storage, and ERP systems.
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• Collaborate with data architects, business analysts, and data scientists to deliver business-focused data solutions.
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• Ensure data quality, governance, security, and compliance across data platforms.
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• Implement CI/CD best practices and support deployment of Databricks solutions.
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• Troubleshoot production issues and continuously improve platform performance.
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• Create technical documentation and support knowledge-sharing initiatives.
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Required Technical Skills

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• Hands-on experience with Databricks Lakehouse Platform
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• Strong expertise in PySpark, Apache Spark, Spark SQL, and Python
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• Experience with Delta Lake, Databricks Workflows, and Unity Catalog
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• Strong understanding of ETL/ELT, Data Warehousing, and Data Modeling
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• Experience with Azure, AWS, or GCP cloud platforms
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• Knowledge of Git, Azure DevOps/GitHub, and CI/CD practices
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• Experience working with SQL Server, Oracle, PostgreSQL, Snowflake, or similar databases
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Preferred Skills

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• Experience with Medallion Architecture and Lakehouse concepts
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• Exposure to Kafka, Event Hubs, or other streaming technologies
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• Knowledge of Power BI or Tableau
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• Understanding of Agile/Scrum methodologies
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• Exposure to Microsoft Fabric is an added advantage
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Qualifications

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• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
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Experience

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• Domain Experience: 3–5 Years
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• Relevant Experience: 0–8+ Years
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Preferred Certifications

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• Databricks Certified Data Engineer (Associate/Professional)
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• Microsoft Azure Data Engineer Associate
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• AWS Certified Data Analytics – Specialty
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• Google Professional Data Engineer
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Why Join GyanSys?

At GyanSys, you'll work on enterprise-scale digital transformation programs leveraging modern cloud and data technologies. We provide a collaborative environment, continuous learning opportunities, and exposure to global clients, enabling you to build innovative solutions while accelerating your professional growth.