Job Title

Databricks Engineer Experience - 5+ Years Location - Pune/Nagpur (WFO)We are seeking an experiencedData Engineerwith strong hands-on expertise inDatabrickson any cloud platform (AWS, Azure, or GCP), along with proven skills inSQL ,Python , andPySpark . The ideal candidate will have a solid background in database design, data processing, and building scalable data pipelines in a cloud-based environment.Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes usingDatabricksandPySpark Work with structured and semi-structured data across various cloud platforms (AWS, Azure, or GCP) Write optimized and complexSQLqueries for data extraction and transformation Implement data ingestion from various sources into the data lake/warehouse Collaborate with data analysts, business stakeholders, and other engineering teams to understand requirements and deliver solutions Monitor and improve the performance of existing data pipelines Ensure data quality, security, and governance across the data lifecycleRequired Skills & Qualifications: 5–7 years of professional experience in Data Engineering or related roles Strong experience withDatabrickson any cloud platform (AWS, Azure, or GCP) Proficiency inSQL ,Python , andPySpark Solid understanding of database structures, data modeling, and data warehousing concepts Experience with cloud data services and storage solutions Familiarity with CI/CD practices and version control tools like Git Excellent problem-solving and communication skillsGood to Have: Exposure to Delta Lake, Lakehouse architecture, or MLflow Knowledge of Apache Airflow or other workflow orchestration tools Experience in performance tuning and job optimization in Spark environments