We are seeking an experienced Senior Data Engineer with a minimum of 8 years of experience to join our team in Dallas, TX . The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and ETL/ELT workflows using Snowflake, dbt, SnapLogic, and Python . You will collaborate with cross-functional teams to build scalable data solutions while ensuring data quality, security, and compliance.
Job Description: Responsibilities:
Design, develop, and maintain data pipelines using Snowflake, dbt, SnapLogic, and Python .
Implement ETL/ELT processes to extract, transform, and load data into data warehouses/lakes.
Develop and optimize data models (star/snowflake schemas) for analytics and reporting.
Collaborate with business and technical teams to understand requirements and deliver scalable solutions.
Ensure data quality, security, and compliance with governance policies.
Utilize dbt to build SQL and Python-based transformation models within Snowflake.
Manage SnapLogic pipelines for seamless integration of on-premise and cloud data.
Write Python scripts for advanced data processing and automation tasks.
Required Skills:
Strong expertise in Snowflake , including schema design and query optimization.
Hands-on experience with dbt for SQL/Python-based transformations in Snowflake.
Proficiency in SnapLogic for data integration workflows.
Advanced Python programming skills for data processing, API handling, and automation.
Familiarity with cloud platforms (AWS/Azure) and their data services.
Why Join Us Opportunity to work on cutting-edge data technologies. Collaborative and inclusive work environment. Competitive salary and benefits package. Opportunities for professional growth and development.