Azure Senior Data Engineer

$111,000 - $152,000/Yr

BDO - Oak Brook, IL

posted about 2 months ago

Full-time - Mid Level
Oak Brook, IL
Professional, Scientific, and Technical Services

About the position

This position will work with cutting edge technology, delivering high-quality solutions across various industries while overseeing teams on engagements of varying sizes and scopes. The role involves hands-on delivery of data analytics projects, contributing to the development and unit testing of solutions, and offers continuous career development opportunities.

Responsibilities

  • Designs and implements best in class data ingestion strategies, data warehouse and data mart structures, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions.
  • Listens to client needs to align solution with business requirements and delivery schedule.
  • Creates written functional and technical designs.
  • Participates in project status and stand meetings, and assists with providing aggregated project status for project and program managers.
  • Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end-to-end solutions.
  • Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles.
  • Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact.
  • Assists with implementation of data governance programs and best practices.
  • Performs the cleaning and transforming of data from source systems into analytics models.
  • Implements models to support data visualizations and integrations.
  • Assists with implementing DevOps, DataOps and MLOps methodologies on projects.
  • Writes custom integration logic in applicable programming languages.
  • Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle.
  • Assists clients with licensing, security, and cost estimation of solutions.
  • Performs code reviews to ensure adherence to standards.
  • Works directly with clients and team members to establish secure data analytics platforms and infrastructure.
  • Contributes to successful deployments of developed solutions and integration of DevOps tools.
  • Maintains a broad and current understanding of data analytics and business intelligence strategies, cloud platforms, methodologies, and tools.
  • Builds client relationships during project execution, effectively becoming a trusted advisor of the client.
  • Participates in support activities for existing software solutions.

Requirements

  • High School Diploma or GED equivalent required; Bachelor's degree preferred in Information Systems, Data Science or Computer Science.
  • Five (5) or more years of experience within Data Analytics, Business Intelligence, Artificial Intelligence, or Application Development required.
  • One (1) or more years of experience technically leading development projects preferred.
  • One (1) or more years of consulting experience or implementation of cloud-based data analytics solutions preferred.
  • Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning required.
  • Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction required.
  • Hands-on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS preferred.

Nice-to-haves

  • Experience with one (1) or more of the following computer languages: C#, Python, Java, Scala preferred.
  • Experience with tabular modeling within Microsoft Fabric, Power BI, or Azure Analysis Services preferred.
  • Experience with Git and DevOps deployment technologies preferred.
  • Experience with Linux preferred.
  • Experience with one (1) or more of the following: Data Lake Medallion Architecture, Batch and/or streaming data ingestion into a data lake, AI Algorithms/Machine Learning, Automation tools such as UiPath, Alteryx, etc., Computer Vision based AI technologies preferred.

Benefits

  • Continuous career development opportunities
  • High-quality solutions across various industries
  • Hands-on delivery of data analytics projects
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