Data Engineering Team Lead

Data Engineering Team Lead This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you. We are looking for a hands-on Team Lead to lead one of our Data Engineering teams within the broader Data & AI group. This role combines technical leadership, team management, and delivery ownership in a large-scale Big Data environment. The team is responsible for developing and operating core data infrastructure and pipelines that support critical business and analytical workloads across the company. The environment includes large-scale Data Warehouses, Data Lakes, streaming and batch processing systems, and end-to-end ownership of data solutions in production. What you'll do: Lead and manage a team of Data Engineers Drive execution, delivery, and day-to-day technical leadership for the team Own team planning, task prioritization, and execution quality Mentor engineers and support their professional growth and development Collaborate closely with Product, Architecture, Analytics, and other engineering teams Lead the design, development, and maintanance of scalable data solutions, tools and features. Ensure high standards for reliability, monitoring, observability, and data quality Participate in architectural and technical decisions within the broader Data platform Support production operations, troubleshooting, and continuous improvement efforts Promote engineering best practices, code quality, testing, and operational excellence Contribute hands-on to features, infra and POC evaluations. Help prepare the organization’s data ecosystem for AI and ML initiatives What you need to bring: 10+ years of hands-on experience in Data Engineering within large data enviroments (spanning multiple stakeholders and petabytes of data) 3+ years of experience as people leader (team manager). Hands-on experience building and maintaining large-scale data platforms Strong understanding of: Data Warehouses Data Lakes / Lakehouse architectures ETL / ELT processes Data quality and monitoring Experience with both Batch and Stream processing technologies Strong Experience with Snowflake Experience with technologies such as Spark, Kafka, Airflow, Flink, Databricks, dbt, or similar Experience working with high-scale distributed data systems Strong problem-solving and technical leadership capabilities Ability to balance hands-on technical involvement with people leadership Excellent communication and collaboration skills High ownership and accountability mindset Advantage Experience in cloud-based data ecosystems Experience building AI/ML data pipelines. Experience with AI / ML data platforms or MLOps environments Experience working in fast-paced product organizations Additional Skills: Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more} What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #aruba Job: Engineering Job Level: Manager_1 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. 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