- Start date: Immediate
- Duration: 2+month W2 contract, expected 3 month extension
- Location: Remote from United States, will support core Pacific Time business hours
- Compensation: The expected compensation is $54 – 68/hr W2 plus benefits.
- Bachelor's degree with 8+ years of experience working on relational databases or Master's degree with 3 years of experience
- 3-8+ years of experience with SQL and stored procedures, with excellent knowledge in SQL
- 3+ years of experience working on Snowflake, building data warehousing solutions, dealing with slowly changing dimensions as well.
- 3+ years of experience in developing and deploying data transformations using DBT including creating/debugging macros.
- 5+ experience in supporting end-to-end data model build and maintenance including testing/UAT.
- Build, maintain and test data pipelines using cloud ETL/ELT tools, preferably Snaplogic.
- Prior experience in working on SAP HANA.
- Develop and maintain scalable data models in Snowflake, ensuring data integrity and reliability.
- Design and implement data transformations using DBT to support analytics and reporting requirements.
- Collaborate with data engineers and data analysts to understand data needs and translate them into technical solutions.
- Optimize Snowflake warehouse configurations and DBT models for performance and cost efficiency.
- Troubleshoot and resolve data pipeline issues, ensuring smooth and efficient data flow.
- Participate in code reviews and provide feedback to team members to ensure code quality and adherence to best practices.
- Stay updated with the latest developments in Snowflake and DBT technologies, and propose and implement innovative solutions.
- Document data pipelines, transformations, and processes to facilitate knowledge sharing and maintain data lineage.
- Work closely with cross-functional teams to support data-driven decision-making and business objectives.
- Contribute to agile project planning and execution related to data engineering tasks and initiatives.
- Highly preferred to have prior experience in creating DW models on SAP ECC, Salesforce systems.
- Flexibility to adapt to changing situations, handle multiple tasks, and meet tight deadlines
- Strong problem-solving, cross-functional analysis and forward-thinking abilities
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Data Engineer - Charles City, United States - CARERRA AGENCY
1 day ago
Description
DBT, Snowflake, SQL, ETL, Data warehouse, UATReference #
Job-11515
Job Description
We're seeking a Data Engineer for our client, a global biotech company with headquarters in San Diego, CA.
Data Engineer needs advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), familiarity with a variety of databases, and DBT (data build tool) Snowflake Data Warehouse.
Overview:
The offered compensation to a successful candidate will be dependent on several factors that may include (but are not limited to) the type and length of experience within the industry, education, etc.
Requirements:
Description:
Desired skills:
Soft skills:
For more information, please email:
Job-
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