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engineeringjobs.net, Inc.

Analytics Engineer

troy, MI

Check who can apply and the requirements below before continuing.

About this opportunity

engineeringjobs.net, Inc. lists this Analytics Engineer opportunity in troy, Michigan. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Analytics Engineer

Full Time Remote

We are looking for an experienced Analytics Engineer to join our team and help build the data infrastructure that powers analytics and decision making across the organization

In this role youll design develop and optimize modern data platforms pipelines and data models that make trusted high quality information accessible to teams across the business

Youll work closely with both technical teams and business stakeholders to understand data needs solve complex problems and create scalable solutions

The ideal candidate is a hands on data professional with strong SQL and data engineering experience a solid understanding of modern cloud data platforms and a passion for building reliable well governed data environments

What You’ll Do

Design develop and maintain scalable ETLELT pipelines and data integration processes

Build and optimize data models that support enterprise reporting analytics and self service BI

Work with platforms such as Microsoft Fabric Snowflake Azure Data Factory and other enterprise data technologies

Ensure data is accurate reliable secure and accessible through strong data quality and governance practices

Monitor data pipelines and platforms to identify performance reliability and scalability issues

Troubleshoot data issues identify root causes and implement effective solutions

Partner with business stakeholders Analytics Developers and technical teams to translate business requirements into effective data solutions

Support enterprise analytics initiatives by providing clean structured and trusted data

Automate data workflows and identify opportunities to improve efficiency and scalability

Maintain technical documentation data standards and best practices

Support compliance requirements including HIPAA PCI data privacy and enterprise security standards

Stay current with emerging data technologies architectures and engineering best practices

Required Qualifications

3 years of experience designing developing and maintaining data pipelines data integration processes and/or enterprise data platforms

Strong proficiency in SQL and experience with database management and optimization

Experience with ETLELT development data modeling and data integration

Understanding of data engineering principles and modern analytics architectures

Experience working with relational and/or cloud based data platforms

Strong analytical and problem solving skills with the ability to troubleshoot complex data issues

Ability to collaborate effectively with both technical and non technical stakeholders

Strong communication skills and the ability to explain technical concepts to diverse audiences

Bachelors degree in Computer Science Information Systems Data Engineering Software Engineering Mathematics or a related technical field preferred or equivalent experience

Preferred Qualifications

Experience with Microsoft Fabric Azure Data Factory Azure Synapse Snowflake or comparable cloud data platforms

Experience designing and maintaining enterprise scale ETLELT pipelines

Knowledge of modern data architecture concepts including Lakehouse data warehouse and medallion architecture

Experience with data quality monitoring metadata management and data governance

Familiarity with Python Spark or other scriptingprogramming languages used for data processing and automation

Experience with Git CICD and DevOps methodologies

Experience working in healthcare or another highly regulated industry

Understanding of HIPAA data privacy security and compliance requirements

Why Join Us

This is an opportunity to play a key role in building and evolving our organizations data environment Youll have the opportunity to work across teams solve meaningful business problems and help establish data solutions that support smarter more efficient decision making If you enjoy turning complex data challenges into scalable reliable solutions we’d love to hear from you

Smile Partners USA is an Equal Opportunity Employer

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Worksite address

troy, MI, 48083, US

Who can apply

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