8-10 years of experience managing product strategies and roadmaps
Must have technical expertise in Databricks.
Possesses in-depth knowledge of data processing techniques and handling large data sets.
Proficient in Pyspark, Spark SQL & Spark streaming for processing data for various use cases, creation of an optimized storage layer, scheduling features for job automation.
Solid understanding of cloud infrastructure (AWS, Azure)
Working knowledge of Apache Spark's execution model, query planning and execution and familiarity with Big Data technology
Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
Own end-to-end product management processes.
Meet with client teams (business, technical and quality) to take detailed briefs and clarify specific requirements.
Knowledge of Agile, SAFe and Waterfall software development methodologies
Highly proficient in product roadmap planning in alignment to business goals and objectives; maintain comprehensive product related documentation.
Track project deliveries and report and escalate to management as needed.
Delegate project tasks based on individual strengths, skill sets and experience levels.