We are looking for a skilled Senior Data Engineer to play a pivotal role in crafting and managing innovative data pipelines and solutions within our organization. Based North of Dallas, TX, this role focuses on leveraging cutting-edge technologies to design, optimize, and maintain data systems that support business objectives. You will collaborate with cross-functional teams to ensure data integrity, governance, and seamless integration across platforms.
Responsibilities:
- Develop and implement comprehensive data strategies and pipelines that align with business needs and objectives.
- Develop and maintain data integration solutions using Azure Services, ETL Tools and SQL , ensuring secure and efficient data flow.
- Optimize MS SQL and Azure database structures and data models to improve system performance and operational efficiency.
- Collaborate with stakeholders to gather and translate data requirements into actionable technical plans.
- Create logical and physical data models to support enterprise data warehousing initiatives.
- Establish and enforce standards for data governance, ensuring data quality, security, and consistency.
- Learn and integrate new technologies, like Snowflake, into existing frameworks to drive innovation and improve functionality.
- Stay updated on industry trends, evaluating and adopting modern tools and technologies to enhance data engineering, AI /ML and reporting structures.
What you bring to the table:
- Bachelor's degree in computer science, Information Systems, or a related field; Master's in Data Science, Data Analytics or related field preferred.
- Minimum of five years of experience in a data engineering, with a proven track record of success.
- Exposure to data pipeline design and architecture preferred but not required.
- Extensive knowledge of data engineering principles, methodologies, and practices.
- Proficiency in Azure services, including Data Factory, Data Lakes, and Databricks.
- Strong expertise in SQL databases, database optimization, and performance tuning.
- Experience with ETL tools such as SSIS for efficient data transformation processes.
- Ability to manage data governance frameworks and ensure compliance with organizational standards.
- The ability and desire to learn modern technologies like Snowflake