Level 3 Data Engineer

About Woodside Energy  

We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition. 

Founded in 1954, Woodside established the liquefied natural gas (LNG) industry in Australia 40 years ago and supplies customers around the globe.  70 years on, Woodside continues to be driven by a spirit of innovation and determination. 

At Woodside, we know great results come from our people feeling valued, getting the support they need to reach their full potential and working in a psychologically and physically safe work environment. We believe in nurturing talent and providing opportunities for continuous learning and career advancement.  

Refer to our corporate website for more information about our different locations and projects: What We Do 

About Woodside Global Solutions 

Woodside Global Solutions in Bengaluru is being built as a hub of excellence, to drive innovation, digital transformation, and global collaboration.  

Working as one Global team, the Woodside Digital team is a trusted partner driving transformation within the organisation. We are bold in our ambitions and resolute in our actions. Through cutting-edge AI, robust cyber security, and advanced data solutions we drive innovation and influence every part of our business. 

We are looking for talented professionals who are passionate about technology and eager to make a global impact, helping to shape the future of Woodside together.  

About the role 

The purpose of the Level 3 Data Engineer position is to leverage their technical expertise and domain knowledge to design, build, and maintain efficient and robust data solutions. The Data Engineer shall be responsible for the building, testing, and deployment of Data Pipelines on the EDP. The engineer shall ensure that the pipelines are developed and deployed with a secure-by-design approach, delivering robust, thoroughly tested, and maintainable solutions. 

Duties & Responsibilities:  

Build 

Pipeline Development 

• Develop piplines using the standard patterns for data pipelines and workflows utilizing Streamsets, Kestra, dbt, Git 

• Design and Implement data storage and processing solutions employing Snowflake 

• Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to: Lambda,ECS,MSK,RDS,EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge  

• Utilize Terraform for AWS and Azure deployments 

• Leverage and integrate APIs for data access and manipulation 

• Write Python scripts for data common processing and automation tasks 

• Leverage Platform API’s and Web Applications to enforce Platform Security 

• Development experience with Go, SQL, C#, .net, JavaScript, shell scripts & container platforms like Docker 

• The engineer shall have experience integrating with timeseries source systems: Honeywell Plant Historian Database, OSI Pi 

• The engineer shall have experience in Authentication mechanisms including but not limited to (OAuth 2.0, OIDC, Microsoft Entra, Key Pair Authentication, Certificate based authentication, SAML based SSO)