Only 24h Left: Data Engineering Manager
2 weeks ago
Experience: 12 - 15 years
Work Locations: Chennai & Hyderabad
Work Model: Hybrid
Timings: 3pm - 12 am (US)
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
Required experience:
- Around 12 - 15 years of overall experience- Experience managing complex data projects and programs involving data engineering, ingestion, transformation, aggregation, modeling and storage- Experience in designing ETL solutions using Informatica, Python/Pyspark, 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- Understanding / experience in big data technologies (HDFS, Spark, Pyspark, Databricks etc)- Basic working knowledge in any cloud- Experience in leading a team and delivering complex projects involving creation and maintenance of data pipelines
Good to have
- Google Cloud knowledge / experience- Agile experience
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