2892- Databricks Engineer

1 day ago


New Delhi, India EXL Full time

About the RoleWe are seeking a highly skilled Databricks Engineer with 5–7 years of experience in data engineering and analytics. The ideal candidate will have strong expertise in designing, developing, and optimizing large-scale data pipelines and solutions using Databricks, Spark, and cloud platforms. This role requires a combination of strong technical skills, problem-solving abilities, and hands-on experience with modern data architectures.Key Responsibilities- Design, develop, and maintain data pipelines and ETL/ELT processes using Databricks and Apache Spark. - Build and optimize Delta Lake-based data architectures for scalable and reliable analytics. - Implement data ingestion, transformation, and processing frameworks from structured and unstructured sources. - Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions. - Ensure data quality, governance, and security across all platforms and solutions. - Optimize performance, cost-efficiency, and scalability of Databricks workloads. - Work with cloud platforms for data storage, compute, and orchestration. - Implement CI/CD pipelines, testing frameworks, and MLOps practices for Databricks projects. - Troubleshoot issues and provide production support for Databricks environments.Required Skills & Experience- 5–7 years of experience in data engineering, with at least 2–3 years of Databricks hands-on experience. - Strong expertise in Apache Spark (PySpark/Scala/SQL) and distributed data processing. - Solid experience with Delta Lake, Lakehouse architecture, and data modeling. - Hands-on experience with at least one cloud platform: Azure Data Lake, AWS S3, or GCP BigQuery/Storage. - Strong proficiency in SQL for data manipulation and performance tuning. - Experience with ETL frameworks, workflow orchestration tools (Airflow, ADF, DBX Workflows). - Good understanding of CI/CD, Git-based workflows, and DevOps practices. - Exposure to MLOps and MLflow is a strong plus. - Knowledge of data governance, cataloging, and security frameworks.



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