Senior Data Engineer with Financial Domain in SC, TX
SMART CALIBER TECHNOLOGYDallas, TX, United Statesjob_description.job_card.1_day_ago
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job_description.job_card.job_descriptionSnowflake Deep understanding of Snowflake data warehousing, Snowpark for data processing and analytics. DBT (Data Build Tool) Hands-on experience in data modeling, transformation, and automation. HVR / Fivetran Experience building and maintaining data replication and integration pipelines. SQL Strong SQL skills for querying, performance tuning, and data validation. AWS Services : Lambda Building serverless data processing functions. Glue Managing ETL and data integration processes. Data Modeling Experience designing optimized and scalable data models. Python Strong programming ability for automation, data transformation, and ETL scripting. Bachelor's degree in computer science, Engineering, or a related field . 10+ years of experience in ETL and Data Engineering roles. 3+ years of hands-on experience with Snowflake . 2+ years of experience with DBT and Fivetran (HVR) . 5+ years of experience with AWS cloud ecosystem. Strong analytical, problem-solving, and communication skills. Technical certifications (e.g., Snowflake, AWS, DBT) are a plus. Grade Level : Targeted up to D2 Level Primary Skills : Snowflake, DBT, Fivetran (HVR) Good to Have : AWS PSP Defined SCU : Data Engineering Data Engineer
Role Name : Senior Data Engineer with Financial Domain in SC, TX
Location : Fort Mill, SC (preferred) or Austin, TX
Job Description
We are seeking a Senior Data Engineer with strong expertise in Snowflake, DBT, and Fivetran (HVR) to join our data engineering team. The ideal candidate will have deep hands-on experience building and optimizing data pipelines using modern cloud-based tools and AWS services.
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using Snowflake, AWS services, Python, and DBT .
- Collaborate with data scientists, analysts, and business teams to understand data requirements and implement robust solutions.
- Optimize data workflows for scalability, performance, and reliability .
- Develop and maintain data models, transformations, and integrations with Fivetran and HVR.
- Troubleshoot and resolve data pipeline and ETL issues in a timely manner.
- Stay updated on the latest data engineering tools, best practices, and cloud technologies .
Must-Have Skills
Good to Have Skills
Airflow Orchestrating and scheduling data workflows.
Qualifications
Additional Details
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Senior Data Engineer • Dallas, TX, United States
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