Databricks Engineer at CGI in Hybrid - Hyderabad

Role & responsibilities

We are seeking a skilled Databricks Engineer with strong expertise in PySpark, Databricks, and Azure/AWS Cloud platforms. The ideal candidate will be responsible for building scalable data pipelines, processing large datasets, optimizing ETL workflows, and supporting data engineering initiatives within a modern cloud-based data ecosystem.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark and Databricks.
• Build and optimize ETL/ELT processes for processing large-scale structured and unstructured data.
• Develop data ingestion frameworks from multiple data sources including databases, APIs, and cloud storage.
• Work with Delta Lake, Spark SQL, and Databricks Workflows for efficient data processing.
• Implement data quality checks, monitoring, and troubleshooting of data pipelines.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Optimize Spark jobs for performance, scalability, and cost efficiency.
• Integrate Databricks solutions with cloud platforms such as Azure, AWS, or GCP.
• Support CI/CD implementation and deployment of data engineering solutions.
• Ensure data governance, security, and compliance standards are followed.

Required Skills

• 6+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks and PySpark.
• Expertise in Apache Spark, Spark SQL, and DataFrame APIs.
• Strong knowledge of ETL/ELT development and data warehousing concepts.
• Experience with Delta Lake, Databricks Notebooks, and Databricks Workflows.
• Proficiency in Python programming.
• Strong SQL skills and database concepts.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Git, CI/CD pipelines, and DevOps practices.
• Experience working with large-scale distributed data processing systems.

Preferred Skills

• Experience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), or AWS S3.
• Knowledge of Kafka, Event Hubs, or streaming technologies.
• Exposure to Data Modeling and Data Governance concepts.
• Experience with Airflow or other workflow orchestration tools.
• Databricks Certification is a plus.