Data Engineer - On-Premise (SQL Server + SSIS preferred)
ExxonMobil
Curitiba, PR, BR
há 2 dias

Who We are

We are more than just one of the largest energy companies. ExxonMobil 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.

We strongly believe that diversity drives innovation so our inclusive workplaces help everyone thrive, regardless of their background.

Safety and wellbeing of our employees is at the heart of everything we do. Our skills and competencies are built through training and work experiences in a wide range of assignments.

With the use of cutting edge technology ExxonMobil holds an industry leading inventory of resources to help meet our societies growing energy demands.

What you will do

  • Work with ETL / ELT tools (mostly SSIS)
  • Design and implement Data Engineering Solutions, including batch and streaming data pipelines on premises.
  • 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
  • What you need to have

  • Solid knowledge in SQL Server and SSIS (queries and stored procedures)
  • 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
  • Experience with SQL optimization on SQL Server (indexes, query plan, database load strategies)
  • Nice to have skill set :

  • Working experience with Data & Analytics Projects and cloud data pipelines
  • Exposure to big data event streaming solutions (e.g. Kafka)
  • Exposure to data replication tools (e.g. Qlik replicate)
  • Exposure with visualization analytics tools (e.g. Power BI, Tableau. SSRS)
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