Data Lake Sme

Data Lake SME

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer office.

Job Description:

HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you.

What you’ll do:

We are looking for an experienced Data Lake / ETL Engineer with 7+ years of expertise in designing, developing, and managing large-scale data ingestion, transformation, and analytics pipelines. The role involves building scalable and secure data lake platforms, enabling business insights through efficient ETL/ELT frameworks, and ensuring data quality, performance, and governance across the enterprise ecosystem.

Key Responsibilities

• Data Lake Architecture & Development
  • Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data.
  • Develop and manage ETL/ELT processes for large-scale data processing.
  • Optimize storage and retrieval strategies across on-prem and cloud-based data lakes.
• Data Integration & Processing
  • Integrate data from multiple sources (databases, APIs, streaming platforms).
  • Implement real-time and batch processing using Apache Spark, Kafka, or Flink.
  • Support metadata management, data lineage, and cataloging.
• Performance & Optimization
  • Tune queries and pipelines for high performance and cost efficiency.
  • Implement partitioning, indexing, and caching strategies for large datasets.
  • Automate routine ETL/ELT workflows for reliability and speed.
• Security & Governance
  • Ensure compliance with data governance, privacy, and regulatory standards (GDPR, HIPAA, etc.).
  • Implement encryption, masking, and role-based access control (RBAC).
  • Collaborate with cybersecurity teams to align with Zero Trust and IAM policies.
• Collaboration & Support
  • Partner with data scientists, analysts, and application teams for analytics enablement.
  • Provide L2/L3 support for production pipelines and troubleshoot failures.
  • Mentor junior engineers and contribute to best practices documentation.

Required Skills & Experience

• 7+ years of experience in data engineering, ETL/ELT development, or data lake management.
• Strong expertise in ETL tools (Informatica, Talend, dbt, SSIS, or similar).
• Hands-on experience with big data ecosystems: Hadoop, Spark, Hive, Presto, Delta Lake, or Iceberg.
• Proficiency with SQL, Python, or Scala for data processing and transformation.
• Experience with cloud data platforms (AWS Glue, Redshift, Azure Synapse, GCP BigQuery).
• Familiarity with workflow orchestration tools (Airflow, Temporal, Oozie).

Preferred Knowledge

• Exposure to real-time data streaming (Kafka, Kinesis, Pulsar).
• Knowledge of data modeling (Kimball/Inmon), star schema, and dimensional modeling.
• Experience with containerized deployments (Docker, Kubernetes).

What you need to bring:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• Preferred certifications:
  • AWS Certified Data Analytics – Specialty / Azure Data Engineer Associate / GCP Data Engineer.
  • Informatica/Talend/dbt certifications (nice to have).

Accountability, Accountability, Active Learning, Active Listening, Bias, Business Growth, Client Expectations Management, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Centric Solutions, Customer Relationship Management (CRM), Design Thinking, Empathy, Follow-Through, Growth Mindset, Information Technology (IT) Infrastructure, Infrastructure as a Service (IaaS), Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Process Improvements, Product Services, Relationship Building {+ 5 more}

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.

#india #operations

Job:

Services

Job Level:

TCP_03

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.