About the role
Job Summary
We are seeking an experienced Senior Consultant – Databricks to design, develop, and optimize modern data platforms on Databricks. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL development, and big data processing. You will collaborate with cross-functional teams to build scalable, secure, and high-performance data solutions that support analytics, AI, and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks.
Build and optimize ETL/ELT workflows using PySpark and Spark SQL.
Develop and manage Delta Lake architecture for reliable and efficient data processing.
Integrate data from multiple sources including databases, APIs, streaming platforms, and cloud storage.
Collaborate with business stakeholders, data analysts, and data scientists to understand business requirements.
Optimize Spark jobs for performance, scalability, and cost efficiency.
Implement data quality, governance, and security best practices.
Monitor production workloads and troubleshoot performance issues.
Automate deployment processes using CI/CD pipelines.
Mentor junior team members and provide technical guidance during project delivery.
Required Skills
Strong experience with Databricks Platform.
Hands-on expertise in Apache Spark, PySpark, and Spark SQL.
Experience with Delta Lake, Unity Catalog, and Databricks Workflows.
Strong SQL programming and data modeling skills.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Experience working with data lakes, data warehouses, and modern data architectures.
Knowledge of orchestration tools such as Azure Data Factory (ADF), Apache Airflow, or similar.
Experience with version control tools such as Git.
Understanding of CI/CD practices and DevOps concepts.
Excellent analytical, troubleshooting, and problem-solving skills.
Originally posted on Himalayas