- Overall 10-18 yrs. of Data Engineering experience with Minimum 4+ years of hands on experience in Databricks. Ready to travel Onsite and work at client location.
- Proven hands-on experience as a Databricks Architect or similar role with a deep understanding of the Databricks platform and its capabilities.
- Analyze business requirements and translate them into technical specifications for data pipelines, data lakes, and analytical processes on the Databricks platform.
- Design and architect end-to-end data solutions, including data ingestion, storage, transformation, and presentation layers, to meet business needs and performance requirements.
- Lead the setup, configuration, and optimization of Databricks clusters, workspaces, and jobs to ensure the platform operates efficiently and meets performance benchmarks.
- Manage access controls and security configurations to ensure data privacy and compliance.
- Design and implement data integration processes, ETL workflows, and data pipelines to extract, transform, and load data from various sources into the Databricks platform.
- Optimize ETL processes to achieve high data quality and reduce latency.
- Monitor and optimize query performance and overall platform performance to ensure efficient execution of analytical queries and data processing jobs.
- Identify and resolve performance bottlenecks in the Databricks setting.
- Establish and enforce best practices, standards, and guidelines for Databricks development, ensuring data quality, consistency, and maintainability.
- Implement data governance and data lineage processes to ensure data accuracy and traceability.
- Mentor and train team members on Databricks best practices, features, and capabilities.
- Conduct knowledge-sharing sessions and workshops to foster a data-driven culture within the organization.
- Will be responsible for Databricks Practice Technical/Partnership initiatives.
- Build skills in technical areas which support the deployment and integrati
📌 Databricks Architect (Pune)
🏢 Impetus Technologies
📍 Pune
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