Data Engineer Sr.

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/ .

Keywords: Azure Data Factory, ADF, Synapse Analytics, Azure Data Lake Storage, ADLS, Power BI, DAX, SQL, PySpark, Cosmos Scope Scripting, KQL, Kusto Query Language, ETL, ELT 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.