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Strong employer brand, metro location, and generic title increase applicant density despite specialized Databricks requirements.
Databricks/Spark expertise transfers across industries but expects data engineering domain experience.
Specialized Databricks and Spark skillset plus senior title enforce moderate filtering without explicit years.
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Lead design and development of data pipelines and analytics solutions on Databricks platform ensuring scalability and performance.
Collaborate with Product Owners to translate business and data requirements into technical user stories and deliver solutions in Agile sprint cycles.
Manage and resolve production incidents related to data pipelines and optimize Databricks platform for cost and performance.
Experience designing and developing data solutions on Databricks including Spark and Delta Lake.
Strong understanding of cloud-based data platforms and scalable data architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Hyderabad, Telangana with Hybrid work arrangement.
Experienced in building and maintaining scalable data processing components in an Agile delivery model.
Comfortable collaborating closely with Product Owners and technology leaders to deliver business-aligned data solutions.
Up-to-date with data engineering trends, Databricks innovations, and cloud platform enhancements.