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.
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