Data Lake SME

Hewlett Packard Enterprise Development LP; Hinoba-an; On-site; PHP 900,000 - 1,400,000; Full time

Job summary

Hewlett Packard Enterprise Development LP is seeking an experienced Data Lake SME onsite in the Philippines to design, develop, and manage large-scale data ingestion, transformation, and analytics pipelines. The role focuses on building scalable data lake platforms, implementing robust ETL/ELT frameworks, and ensuring data quality, governance, and performance.

You will collaborate with customers and partners to translate business needs into technical requirements and accelerate data-driven

Qualifications

• 7+ years of experience in data engineering and data lake development.
• Experience designing scalable ETL/ELT pipelines.
• Knowledge of data governance and quality practices.

Responsibilities

• 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.
• Ensure data quality, governance, and performance across the enterprise ecosystem.

Skills

Data Lake

ETL/ELT

Apache Spark

Kafka

Flink

Job description

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

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.