Pantheon Inc.

Data Engineer Cloud - 56881

Job description

Who We are
Our client is more than just one of the largest energy companies. It is the start of what could be an incredible journey. It’s the place where people think independently, take initiative, grow to their full potential and shape the future of energy. They strongly believe that diversity drives innovation so their inclusive workplaces help everyone thrive, regardless of their background. Safety and wellbeing of their employees is at the heart of everything they do. Their skills and competencies are built through training and work experiences in a wide range of assignments. With the use of cutting edge technology it holds an industry leading inventory of resources to help meet our societies growing energy demands.

What we are looking for
We are looking for graduates in Computer Science or related field (preferably)

What you will do
Work with Azure or AWS (mostly Azure), depending on demand
Design and implement Data Engineering Solutions, including batch and streaming data pipelines on Cloud.
Design and implement the extraction, processing and storing of data from different sources
Design conceptual, logical and physical data models for analytics solutions.
Collaborate with project teams, business customers and other partners in requirements gathering, solution design and product delivery
Understand company and industry best practices, technical architecture, design standards, technology roadmaps and business requirements and ensure compliance with each of these
Translate customer needs and processes into logical & physical models, data diagrams and automated workflows
Explore & Learn new technologies according to technology roadmap and industry trends


What you need to have

Advanced/Fluent in both written and verbal English
Solid knowledge in SQL (queries and stored procedures)
Experience ETL/ELT pipelines for Cloud (e.g. Azure: ADF, Functions, Event Hub, Azure DevOps)
Python Coding Language
Familiarity with data modeling (e.g. Star and Snowflake schemas)
CI/CD fundamentals (e.g. DevOps, Git)
Advanced/Fluent in both written and verbal English

Nice to have
Experience with Snowflake Platform (vendor)
Working experience with Data & Analytics Projects and on-premises data pipelines (e.g. SSIS)
Experience with SQL optimization on SQL Server (indexes, query plan, database load strategies)
Exposure to big data event streaming solutions (e.g. Kafka)
Exposure with visualization analytics tools (e.g. Power BI, Tableau)

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