Databricks Developer

Greetings from TCS! Job Title: Databricks Developer Required Skillset: Azure Databricks Location: Hyderabad/Chennai Experience Range: 4-8 years Job Description Must-Have**

• 5 + years’ experience IT professional with exposure to healthcare payer space
• Experience in payment domain, healthcare, finance domains
• Experience in documenting integrating third party products
• Examine and evaluate current systems
• Liaise with users to track additional requirements and features
• Document interfaces between new and legacy systems
• Stay up to date with current technologies and technical developments
• Able to work with cross functional teams and architects
• Excellent written and verbal communication skills
• Good analytical skills and attention to detail
• Extensive hands-on experience implementing Lake house architecture using Data bricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog
• Extensive hands-on experience implementing server less real-time/near real-time architecture using Cloud native services (i.e., Azure Stack), and Spark technologies (e.g., Spark Streaming, Spark ML)
• Experience in data governance fields as lineage, quality, catalog, multi-cloud experience, etc.
• 5+ years of experience in Data bricks engineering solutions on one of the Cloud platforms (Azure)
• Experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure)
• Demonstrated experience in Microsoft Azure cloud solutions, architecture, related technologies
• Demonstrable experience working in transformational projects where you implemented data platforms and/or ETL/ELT/CDC pipelines using Databricks
• 5+ years of Demonstrated experience in Microsoft Azure cloud solutions, architecture, related technologies
• Experience with conceptualizing and architecting data lakes on cloud-centric platforms; should be able to articulate the value and key components of data lakes
• Excellent interpersonal, verbal, and written communication skills
• Passionate about learning new technologies

• Work with clients to define their cloud data platform and implement cutting-edge data solutions to provide valuable business insights including AI/ML
• Drive analysis, architecture, design, governance and development of data warehouse, data lake, and business intelligence solutions
• Research, synthesize, recommend, and select technical approaches for solving difficult migration, development, and integration problems
• Conduct and support workshops, design sessions, and project meetings as needed, playing a key role in client relations
• Utilize Lake house Fundamentals, Developer Foundations Capstone, Developer Essentials Capstone, etc.
• Collaborate applications teams/Business users to develop new pipelines with Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc.