Senior Data Engineer
New
I
Inizio Partners CorpData engineering
Remote (US)Full-TimeSenior
SalarySalary 125K-155K + 12% bonus
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Job Details
- Experience
- 5-8 years; 5+ years of experience in data engineering and analytics on modern data platforms; 3+ years extensive experience with DBT or similar data transformation tools
- Required Skills
- AWSPythonSQLdbt
Requirements
- Hold a bachelor's degree in a quantitative or technical field, or equivalent; a master's degree is preferred.
- Have 5+ years of experience in data engineering and analytics on modern data platforms.
- Have 3+ years of extensive experience with DBT or similar data transformation tools.
- Be experienced in building maintainable DBT models and developing DBT packages and macros.
- Bring deep familiarity with dimensional modeling and data warehousing concepts.
- Have expertise designing, implementing, operating, and extending enterprise dimensional models.
- Understand change data capture concepts.
- Have experience with AWS Lambda, Step Functions, MWAA, Glue, and Redshift.
- Have hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CD.
- Have Python proficiency or general knowledge of Jinja templating in Python and/or PySpark.
- Have Agile experience and be willing to work with extended offshore teams and assist with design and code reviews with the customer.
Responsibilities
- Design and build scalable data transformation pipelines using SQL, DBT, and Jinja templating.
- Develop and maintain data architecture and standards for data integration and data warehousing projects using DBT and Amazon Redshift.
- Collaborate with cross-functional teams to gather requirements and deliver dimensional data models.
- Own DBT data modeling to support analysts, data scientists, and BI engineers.
- Maintain DBT models, SQL scripts, and ERD documentation.
- Ensure data quality, governance alignment, and operational readiness of data pipelines.
- Apply version control, CI/CD, and code review practices.
- Optimize SQL queries and apply performance-tuning practices, including partitioning, clustering, and materialized views.
- Build infrastructure as code with AWS CDK and automate deployments using AWS CodeCommit, CodePipeline, and related DevOps tools.
- Support Agile processes and collaborate with offshore teams.
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