Data Engineer
IT
Full Time
Charlotte, Nc
2022-06-24

A REGULAR DAY AT WORK (ESSENTIAL DUTIES):
For us going to work every day has an even greater purpose than putting the latest product or technology on the market. It’s about improving the everyday lives of millions. By being sustainable and open to new ideas we can push the boundaries of cooking, cleaning, and wellbeing at home. But to keep doing so, we need more people who want to innovate and re-imagine what life at home can be.  

As a member of the North America IT Business Intelligence Team, you will be instrumental in scaling, storing, processing, and migrating data assets to Electrolux’s Enterprise Data Platform. You will collaborate with the Global Data Science and Global BI COE teams as we execute our Global Data Strategy and transform Electrolux into a fundamentally data-driven company.

We welcome your strong analytical and problem-solving skills along with your solid business acumen and focus on delivery, ability to influence, and passion for continuous improvement and automation.

KEY RESPONSIBILITIES:

  • Understand, advocate, and support the Electrolux NA business and IT strategies, promoting best practices, standards, and leveraging system platform potential.
  • Design and build Data Lake and Data Warehouse solutions on Azure using batch and streaming data pipelines.
  • Develop and implement data engineering best practices while balancing availability, throughput, quality and cost constraints.
  • Deliver high quality processes, functionalities and tools to improve data analytics solution capabilities. Proof of Concepts, prototypes and production.
  • Evangelize modern data engineering approaches and best practices-based software development.
  • Design and implement DevOps techniques including code repositories, build and deployment.
  • Automate where appropriate to gain efficiencies.
  • Understand and fully leverage the data warehouse and data assets to drive decisions and insights for the organization.
  • Mentor fellow BI resources on data engineering techniques and best practices.

WHO YOU ARE:

  • You work with urgency, analyzing and adapting to different situations, quickly understanding changes and reacting confidently and decisively.
  • You always strive for better, in your work and for your future.
  • With an eye for detail and the ability to interpret complex data, you can also translate this into meaningful, useful information that informs decision-making.
  • You build networks and trust, good working relationships and apply your influence to shaping change.
  • Focused on achieving your targets – and those of customers.
  • You start and you finish, taking responsibility for getting things done, on time and to high quality, tying up all the loose ends along the way.
  • You’re open minded about where ideas come from and how they can be applied to enable innovation.
  • You want to know everything about everything – then you take it all apart and put it back together.
  • You not only know your area of expertise, you’re passionate about it and how it can enable and support people to work better and achieve more.

We employ great people from a wide variety of backgrounds – not just because it’s the right thing to do, but also because we believe that diverse perspectives make our business stronger and more innovative. If you share our values, come find your place in our global community. Meet us on @lifeatelectrolux and career.electroluxgroup.com to learn more.

Minimum Qualification

EDUCATION & EXPERIENCE:

  • Bachelor’s Degree (Computer Science or equivalent).
  • 3 years hands-on experience in Azure or AWS.
  • Advances SQL, ELT, data engineering skills.
  • Solid command of one or more of: Python/Pyspark (preferred) or Scala.
  • Deep understanding of data structures and database technologies.
  • Experience developing streaming and batch data pipelines for both Cloud and Hybrid infrastructures.
  • Experience with Azure (or AWS equivalent) Data Lake, Data Factory, Synapse, Databricks.
  • Experience with streaming data technology Azure Stream Analytics, Event hubs, Spark Streaming, etc.
  • Experience with good software engineering practices: have working experience with modern tools such as Azure DevOps, Github, Jira, Jenkins and other build automation tools.
  • Self-motivated, fast learner, technology agnostic, pragmatic, strong problem solving and decision-making skills.
  • Experience in Cloud solution design.
  • Good oral and written communication skills.
  • Ability to work with remote teams.
  • Ability to teach others.

#LI-SG2

Apply now

We encourage you to apply as soon as possible as candidates will be interviewed continuously. The position may be filled prior to the date described as 'Apply by'