Source description
About the role
Position : ETL Technical Product Owner / Manager Primary Skill - ETL, Pyspark, GCP, Delivery management, Product Manager come Delivery. Healthcare exp, Shift - 1pm to 10pm Location - Chennai/Hyderabad Role Summary: To lead a vibrant data team that is creating & maintaining re-usable data pipelines using Databricks, PySpark & GCP. The role will involve managing the work end to end, interaction and co-ordination with multiple stakeholders including US counterparts & other vendor team members. Essential Responsibilities - Lead the overall data engineering lifecycle including proof of concepts, architecture, design, development, test, deployment and maintenance of data pipeline and solutions - Establish and implement standardized guidelines for ETL and data architecture, ensuring consistency and efficiency - Guide team to create frameworks that guarantee data quality, handle errors effectively, provide audit controls, and offer reusable transformation structures - Lead team to apply a comprehensive, enterprise-wide approach to building data models and data management strategies, ensuring seamless integration across upstream and downstream applications - Transform business requirements into creative and practical data solutions that address constraints and optimize processes. - Effectively communicate with business users, US team, architects, data analysts, and other teams to ensure data solutions meet their needs and align with overall objectives. - Lead and mentor multiple data engineering teams to achieve project objectives & deliverables - Manage day to day operation and ensure adherence to process, scope, quality and timelines - Participate in review of requirements, architecture & design - Highlight risks and concerns, work with US managers to establish alignment, contingency and mitigation plans as required - Constantly looking to identify impediments early, actively working to resolve those impediments, and escalate when needed - Track delivery statuses, project progress and take ownership of critical incidents till completion - Take ownership and accountability of critical projects (for work executed in India) - Publish regular status to leadership team highlighting risks & issues among other things - Other duties as assigned or requested - approximately 50% technical and 50% management The experience we are looking to add to our team Required - 10 to 14 years of overall experience with majority of them in Data engineering - Experience managing complex data projects and programs involving data engineering, ingestion, transformation, aggregation, modeling and storage - Experience in managing enterprise grade ETL/ELT solutions using Pyspark / GCP DataProc / Databricks etc. - Experience building, mentoring, and managing high performing teams spread across multiple geographical locations - Strong customer focus, communication, collaboration and problem-solving skills - Excellent communication, confidence & attitude - Experience in big data technologies (HDFS, Spark, Pyspark, Databricks etc) - Experience in leading a team and delivering complex projects involving creation and maintenance of data pipelines Good to have: - Google Cloud knowledge / experience - Knowledge on tools like Iceberg, DBT, Starburst - Agile experience - Healthcare experience Position : ETL Technical Product Owner / Manager Primary Skill - ETL, Pyspark, GCP, Delivery management, Product Manager come Delivery. Healthcare exp, Shift - 1pm to 10pm Location - Chennai/Hyderabad Role Summary: To lead a vibrant data team that is creating & maintaining re-usable data pipelines using Databricks, PySpark & GCP. The role will involve managing the work end to end, interaction and co-ordination with multiple stakeholders including US counterparts & other vendor team members. Essential Responsibilities - Lead the overall data engineering lifecycle including proof of concepts, architecture, design, development, test, deployment and maintenance of data pipeline and solutions - Establish and implement standardized guidelines for ETL and data architecture, ensuring consistency and efficiency - Guide team to create frameworks that guarantee data quality, handle errors effectively, provide audit controls, and offer reusable transformation structures - Lead team to apply a comprehensive, enterprise-wide approach to building data models and data management strategies, ensuring seamless integration across upstream and downstream applications - Transform business requirements into creative and practical data solutions that address constraints and optimize processes. - Effectively communicate with business users, US team, architects, data analysts, and other teams to ensure data solutions meet their needs and align with overall objectives. - Lead and mentor multiple data engineering teams to achieve project objectives & deliverables - Manage day to day operation and ensure adherence to process, scope, qualit
More at CitiusTech