Data Engineer
Galent
Job Description
Job Title: Data Engineer
\nLocation: Washington, DC (Onsite Job)
\nEmployment Type: Contract
\n \nMust-Haves
\n2+ years of hands-on Data Engineering experience
\nExperience delivering multiple production-grade cloud data platform implementations
\nAdvanced Python, SQL, and Spark/PySpark with some exposure to Databricks.
\nStrong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization
\nExperience with Git, CI/CD, automated testing, and deployment strategies
\nExperience contributing to solution design and architectural decisions
\nExperience leading technical implementation activities and/or mentoring engineers
\nAt least one Associate-level or higher AWS, Azure, or GCP certification
\n \nPreferred Qualifications
\nExperience with Delta Lake and Lakehouse architectures.
\nExperience with Snowflake, Amazon Redshift, Azure Synapse Analytics, or Google BigQuery.
\nExposure to Docker and Kubernetes.
\nFamiliarity with Terraform and Infrastructure as Code (IaC) practices.
\n \nWe are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
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