Data Engineer Sr.

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 Data Engineer Sr.:

Responsibilities:

• Design, implement, and maintain scalable data pipelines on the Azure platform using core tools like Azure Data Factory and Synapse Analytics.
• Develop, optimize, and manage Power BI dashboards to support enterprise reporting and data visualization needs.
• Translate business requirements into efficient data models, leveraging DAX, dimensional modeling, and Power BI to communicate insights effectively.
• Work closely with cross-functional teams to integrate data pipelines and ensure seamless delivery of analytics and reporting solutions.
• Enhance Cosmos processing performance by writing and optimizing Scope Scripts for large-scale data jobs.
• Maintain strong data governance by ensuring data quality, security, and compliance across all systems and processes.

Requirements:

• Tech Stack Must-Haves: Expertise in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Power BI, and DAX.
• Strong experience in designing and implementing data pipelines.
• Proven ability to optimize and manage enterprise-level reporting solutions.
• Excellent skills in translating business requirements into technical data solutions.

Desired:

• Experience with Cosmos Scope Scripting for large-scale data jobs.
• Experience with PySpark for data processing.
• Familiarity with Kusto Query Language (KQL).

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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Requirements

Requirements:

• Tech Stack Must-Haves: Expertise in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, SQL, Power BI, and DAX.
• Strong experience in designing and implementing data pipelines.
• Proven ability to optimize and manage enterprise-level reporting solutions.
• Excellent skills in translating business requirements into technical data solutions.