Power BI Data Engineer

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

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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.