Senior Data Engineer

Senior Data Engineer

  • Contract Length: 12 months with possibility of extension
  • Location: Brazil | Remote

Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.

Responsibilities

  • Work with Snowflake or 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
  • Engage in proof of concepts, technical demos and interaction with customers and other technical teams

Qualifications

  • 5+ years of Data Engineering experience
  • Computer Science, Computer Engineer degree or equivalent experience.
  • Fluent in English

Must-Have Skills / Capabilities

Required Technical Skills

  • Work experience on Azure and Snowflake platforms
  • Solid knowledge in SQL (queries and stored procedures)
  • Solid knowledge in dbt (Data Build Tool)
  • Experience ETL/ELT pipelines for Cloud (e.g. Azure: ADF, Functions, Event Hub, Azure DevOps)
  • Have good understanding of Python Coding Language
  • Familiarity with data modeling (e.g. Star and Snowflake schemas)

Soft Skills

  • Have a good command of English
  • Strong analytical and problem-solving skills
  • Good collaboration and teamwork
  • Self-learner and proactivity
  • Able to work independently with minimal supervision
  • Adaptability and flexibility

Nice-to-Have / Preferred

  • Working experience with Data & Analytics Projects and on-premises data pipelines (e.g. Nifi, SSIS)
  • Experience with SQL optimization on SQL Server (indexes, query plan, database load strategies
  • Working experience on integration and flow of data coming from different sources (e.g. SAP, SQL Server, Hadoop)
  • CI/CD fundamentals (e.g. DevOps, Git)
  • Exposure to visualization analytics tools (e.g. Power BI, Tableau)
  • Exposure to big data event streaming solutions (e.g. Kafka)
  • Basic understanding about SAP HANA, SAP tables
  • Exposure to data replication tools (e.g. Qlik replicate, SLT)
  • Experience with SCRUM or another similar Agile framework
  • Oil and Gas experience

 

Looking for meaningful work? We can help

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com

 

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Senior Data Engineer

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