Data Engineering Manager, Hewlett Packard Enterprise

Data Engineering Manager

Hewlett Packard Enterprise

Location:

India, Pune

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

We are seeking a Data Engineering Manager to lead, manage, and deliver complex data engineering projects within Hewlett Packard Enterprise. This includes technical leadership, delivery management, stakeholder collaboration, and fostering innovation across the organization.

Job Responsibility:

Plan, execute, and manage end-to-end delivery of data engineering projects, ensuring they meet quality, timeline, and budgetary requirements
Implement best practices in Agile, Scrum, or other relevant methodologies for iterative and efficient project delivery
Establish robust mechanisms to monitor project progress, identify risks, and ensure proactive resolution
Provide guidance on the design, development, and deployment of scalable data pipelines, ETL/ELT processes, and data storage solutions
Oversee the integration of cloud-based or on-premises data platforms
Build, mentor, and lead a high-performing team of data engineers
Conduct performance reviews, provide feedback, and develop professional growth plans for team members
Act as a primary point of contact for stakeholders, ensuring alignment of technical solutions with business needs
Translate business requirements into technical deliverables and prioritize tasks effectively
Collaborate with cross-functional teams, including product managers, data scientists, and analysts, to deliver cohesive solutions

Requirements:

The overall experience is between 10-15 years
Bachelor's degree in Computer Science, Information Technology, or a related field
Proficiency in programming languages such as Python or Java
Extensive experience working with big data technologies such as Airflow, Hadoop, Spark, Kafka
Strong proficiency with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra, Cloudera)
Experience in on-prem data engineering open source tools
Strong experience in data modeling, data warehousing, and ETL frameworks
Familiarity with data governance practices, data privacy, and security standards
Experience with containerization and orchestration tools like Docker and Kubernetes
Knowledge of CI/CD pipelines, version control systems, and agile methodologies
Good to have databricks and Snowflake experience
Good to have: Experience in building AI systems using data

Nice to have:

Good to have databricks and Snowflake experience
Good to have: Experience in building AI systems using data

What we offer:

Health & Wellbeing benefits
Professional Development Programs
Diversity, Inclusion & Belonging initiatives

Additional Information:

Job Posted:

March 20, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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