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:
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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.
