Company Description
Join Our Client's Team as a Sr. Data Engineer!
At Talent Connection, we excel at matching exceptional talent with leading employers. We are currently seeking a Sr. Data Engineer to join our prestigious client's team and help drive their innovative data solutions.
About Our Client: Our client is a leading retail company renowned for their extensive network of over 2,000 stores nationwide.
Job Description
Position Overview: As a Sr. Data Engineer, you will be pivotal in developing and maintaining data solutions that enhance our client's reporting and analytics capabilities. You will leverage a variety of data technologies to construct scalable, efficient data pipelines that support critical business insights and decision-making processes.
Key Responsibilities:

• Architect and design data pipelines that meet reporting and analytics requirements.
• Develop robust and scalable data pipelines to integrate data from diverse sources into a cloud-based data platform.
• Convert business needs into architecturally sound data solutions.
• Lead data modernization projects, providing technical guidance and setting design standards.
• Optimize data performance and ensure prompt resolution of issues.
• Collaborate with cross-functional teams to create efficient data flows.

Qualifications
Required Skills and Experience:

• 7 years of experience in data engineering and pipeline development.
• 5 years of experience in data modeling for data warehousing and analytics.
• Proficiency with modern data architecture and cloud data platforms, including Snowflake and Azure.
• Bachelor's Degree in Computer Science, Information Systems, Engineering, Business Analytics, or a related field.
• Strong skills in programming languages such as Java and Python.
• Experience with data orchestration tools and DevOps/Data Ops practices.
• Excellent communication skills, capable of simplifying complex information.

Preferred Skills:

• Experience in the retail industry.
• Familiarity with reporting tools such as MicroStrategy and Power BI.
• Experience with tools like Streamsets and dbt.

Additional Information
Work Environment: This position offers the flexibility to work remotely from anywhere within the United States.
If you are a skilled data engineer eager to make a significant impact within a dynamic and supportive environment, we want to hear from you!
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All your information will be kept confidential according to EEO guidelines.