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Power BI Data Engineer

Roles & Responsibilities

  • 2-5+ years of experience as a Data Engineer or Technical Business Analyst
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • Strong expertise in Power BI, SQL, and Python
  • Hands-on experience working with large-scale data sets

Requirements:

  • Design, develop, and maintain Power BI analytics solutions to support business decision-making
  • Analyze large volumes of data to identify business opportunities in retail and commercial areas
  • Collaborate with business and technology teams to translate requirements into efficient data models
  • Design, model, and optimize data structures for dashboards and reporting consumption

Job description

Description

Our client represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and Society to Rise™.

They are a USD 6 billion company with 163,000+ professionals across 90 countries, helping 1279 global customers, including Fortune 500 companies. They focus on leveraging next-generation technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling end-to-end digital transformation for global customers.

Our client is one of the fastest-growing brands and among the top 7 IT service providers globally. Our client has consistently emerged as a leader in sustainability and is recognized amongst the ‘2021 Global 100 Most sustainable corporations in the World by Corporate Knights. 

We are currently searching for a Power BI Data Engineer :

Responsibilities

  • Design, develop, and maintain Power BI analytics solutions to support business decision-making.
  • Analyze large volumes of data to identify business opportunities in retail and commercial areas.
  • Collaborate with business and technology teams to translate requirements into efficient data models.
  • Design, model, and optimize data structures for dashboards and reporting consumption.
  • Work with relational and non-relational data sources in Cloud environments.

Requirements

  • 2–5+ years of experience as a Data Engineer or Technical Business Analyst.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • Strong expertise in Power BI, SQL, and Python.
  • Hands-on experience working with large-scale data sets.
  • Solid knowledge of relational databases (Oracle, DB2, Redshift, or similar).
  • Experience with JSON data structures, Hadoop, and Hive.
  • At least 1 year of experience in the banking sector.

Desired 

  • Experience with data modeling and data warehousing.
  • Practical knowledge of Spark.

Languages

  • Intermediate English.
  • Native Spanish.

Note:

  • Hybrid

If you meet these qualifications and are pursuing new challenges, Start your application to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/.


Requirements

  • 2–5+ years of experience as a Data Engineer or Technical Business Analyst.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • Strong expertise in Power BI, SQL, and Python.
  • Hands-on experience working with large-scale data sets.
  • Solid knowledge of relational databases (Oracle, DB2, Redshift, or similar).
  • Experience with JSON data structures, Hadoop, and Hive.
  • At least 1 year of experience in the banking sector.


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