enGen Global
Website:
getengen.com
Company:
https://www.linkedin.com/company/engenglobal
Industries: IT Services and IT Consulting and Software Development
Job details:
enGen Global is at the forefront of healthcare's Global Capability Centers (GCC) in India, dedicated to creating powerful and innovative solutions that have a transformative impact on lives. The company's cutting-edge solutions empower healthcare partners to manage their operations through comprehensive, proven platforms, enabling them to focus on their core strengths – delivering positive experiences to healthcare consumers and ensuring excellence in service and care. enGen Global’s wide-ranging solutions encompass IT Health Plan and IT Health Consumer Solutions, Application and Platform Management, Enterprise Solutions and Transformations, Development, Testing, Diversified Business Solutions, and Business Process Services. Operating within India's thriving landscape of emerging GCCs, enGen Global boasts a robust partner ecosystem, incorporating best-in-class engineering processes, tools, solution accelerators, talent, research, and co-innovation capabilities.
We believe our people are our greatest asset. The diverse perspectives that our talent bring to our global workforce are foundational to our success. enGen Global is proud to be an equal opportunity employer, committed to fostering a culture of integrity, diversity, and inclusion. We do not discriminate based on any protected characteristic.
Role : Advisor - ETL Technical Product Owner / Manager
Exp : 10 to 15 years
Work Mode - Hybrid
Work Location - Chennai & Hyderabad
Shift time - 1pm to 10pm
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
Click on Apply to know more.