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 Remote Senior Azure Data Factory (ADF) Developer: Responsibilities: Design and manage data models, data logging, and data validation processes.
Build and optimize data pipelines, including wrangling, transformations, and consumption layers.
Define data quality and master data rules for matching, merging, and de-duplicating.
Translate business requirements into technical specifications for development teams.
Implement data warehousing solutions, leveraging MS-Azure stack, including Azure Data Lake, Azure Data Factory, and Azure Databricks.
Develop and document solutions, including architecture, design diagrams, and code comments.
Guide and support team members in managing development tasks, dependencies, and technical issues.
Requirements: Bachelor's degree with 4-8+ years of experience in data engineering, business intelligence, or related fields, supporting Marketing or similar organizations.
Strong understanding of data architecture, business systems, and software design patterns.
Proficiency in defining data quality standards and managing data orchestration using ADF.
Proficient with Azure services, specifically Azure Data Lake, Azure Data Factory, and Azure Databricks.
Experience with big data analytics, data warehousing, and modern data warehouse/Lambda architecture.
Skilled in technical documentation, including solution design, architecture diagrams, and detailed code comments.
Ability to communicate technical concepts clearly to non-technical audiences.
Problem-solving skills in a big data environment.
Desired: Experience with PowerShell or comparable scripting languages.
Knowledge of additional Azure services, such as Azure Data Lake Analytics, U-SQL, and Azure SQL Data Warehouse.
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),Data Engineering,Data Warehousing,Azure Databricks,Data Quality and Orchestration None