Data Engineer
- Oklahoma City, OK, United States
$100,000 to $125,000 USD / year
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Job details
- Pay
- $100,000 to $125,000 USD / year
- Apply by
- Posting language
- English
- Posted
Original job description
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.
Responsibilities:
- Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.
- Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.
- Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.
- Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.
- Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.
- Ensure data quality, governance, and integrity by implementing and enforcing best practices.
Qualifications:
- Proven expertise with Snowflake, including schema design, performance tuning, and best practices.
- Proficiency in Python for scripting and data manipulation
- Strong knowledge of SQL Server
- Experience with Matillion Data productivity cloud is highly preferred
- Experience with data modeling and building data pipelines in cloud-based or hybrid environments.
- Strong analytical and problem-solving skills with an attention to detail.
More about this job
Skills
- Decision making
- Business intelligence
- Snowflake
- Manage data
- Python
- Process data
- Microsoft SQL Server
- Reporting
- Troubleshoot
- Data modelling
- Problem solving
- Attention to detail