Data Engineer Sr.
12/5/2025
The Data Engineer Sr. will design, implement, and maintain scalable data pipelines on the Azure platform and develop Power BI dashboards for enterprise reporting. They will also ensure data quality, security, and compliance across all systems.
Working Hours
40 hours/week
Company Size
11-50 employees
Language
English
Visa Sponsorship
No
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.
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
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.
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