Data Ingestion Specialist (HVR, PySpark, Python, SAP Datasphere SLT, SQL)

Do you enjoy working on Data?

Would you like to help shape and implement our Digital Technology teams' strategic direction?

Join our Digital Technology Team!

We operate at the heart of the digital transformation of our business. From Digital Engineering to enabling employee success, the Digital Technology team is driven to provide the best products and service. We collaborate with teams to solve complex technical challenges and design future innovations.

Partner with the best

As a Data Ingestion Specialist, you will be responsible for:

• Designing, developing & automate data ingestion pipelines for ERP systems like Oracle, SAP using HVR, SAP Datasphere SLT, PySpark, Python.
• Implementing near real-time and batch ingestion workflows leveraging HVR for replication and SLT for SAP data integration.
• Ensuring data quality and consistency through validation, cleansing, and reconciliation processes.
• Collaborating with ERP functional teams to understand data structures, business logic, and integration requirements.
• Optimizing ingestion workflows for scalability, performance, and cost efficiency.
• Monitoring and troubleshooting pipelines to ensure timely and accurate delivery of ERP data.
• Documenting processes, standards, and best practices to support knowledge sharing and compliance.
• Contributing to automation initiatives by building reusable frameworks and scripts for ERP data ingestion, Pyspark Ingestion
• Trouble shooting and fix any incidents or request raised to fix the data pipelines
• Being proactive in an agile working environment
• Participating in the domain technical and business discussions relative to future architect direction.
• Researching and evaluate emerging technology, industry, market trends to assist in project development and/or operational support activities

Fuel your passion!

To be successful in this role, you will:

• Have Hands-on experience with HVR (real time data replication) and SAP Datasphere SLT (data integration and transformation).
• Have  strong programming skills in Python and PySpark
• Have a proficiency in SQL for querying, transformations, and performance tuning.
• Have  an experience with ERP systems (Oracle E-Business Suite, SAP) & Databases like SQL Server, MySQL.
• Have a familiarity with ETL/ELT tools (Informatica, Talend, Azure Data Factory, Databricks).
• Have a strong problem solving and communication skills.
• Have a knowledge of cloud platforms (Azure, AWS, OCI) for ERP data integration.
• Have  an understanding of ERP data models (finance, procurement, HR, supply chain)
• Have a knowledge of CI/CD pipelines and DevOps practices for data engineering
• Have an exposure to Tableau / Qlik

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all our people are developed, engaged and able to bring their whole authentic personalities to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we must push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much.

we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs.
• Additional elected or voluntary benefits

The Baker Hughes internal title for this role is: Digital Technology Specialist - Data Operations Engineering