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 Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and PySpark. Build and optimize data pipelines for structured, semi-structured, and unstructured data. Develop data transformation workflows using Databricks Notebooks, Spark SQL, and Delta Lake. Optimize Spark jobs and Databricks clusters for performance and cost efficiency. Integrate data from multiple enterprise sources, including databases, APIs, cloud storage, and ERP systems. Collaborate with data architects, business analysts, and data scientists to deliver business-focused data solutions. Ensure data quality, governance, security, and compliance across data platforms. Implement CI/CD best practices and support deployment of Databricks solutions. Troubleshoot production issues and continuously improve platform performance. Create technical documentation and support knowledge-sharing initiatives. Required Technical Skills Hands-on experience with Databricks Lakehouse Platform Strong expertise in PySpark, Apache Spark, Spark SQL, and Python Experience with Delta Lake , Databricks Workflows, and Unity Catalog Strong understanding of ETL/ELT , Data Warehousing, and Data Modeling Experience with Azure, AWS, or GCP cloud platforms Knowledge of Git, Azure DevOps/GitHub, and CI/CD practices Experience working with SQL Server, Oracle, PostgreSQL, Snowflake, or similar databases Preferred Skills Experience with Medallion Architecture and Lakehouse concepts Exposure to Kafka, Event Hubs, or other streaming technologies Knowledge of Power BI or Tableau Understanding of Agile/Scrum methodologies Exposure to Microsoft Fabric is an added advantage Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. Experience Domain Experience: 3–5 Years Relevant Experience: 0–8+ Years Preferred Certifications Databricks Certified Data Engineer (Associate/Professional) Microsoft Azure Data Engineer Associate AWS Certified Data Analytics – Specialty Google Professional Data Engineer 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.