Data Engineer

The role involves working with structured and unstructured data, building ETL/ELT pipelines, ensuring data quality and performance, and supporting analytics and business intelligence initiatives.Job Description:Must-Haves2–4 years of hands-on Data Engineering experienceStrong Python and SQLHands-on Apache Spark / PySpark with exposure to Databricks.Experience building production ETL/ELT pipelines, including batch and/or streamingGood understanding of data modeling, data warehousing, incremental processing, and data qualityExperience with Git and CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab, or similar)Working understanding of the SDLC and production supportAt least one Associate-level or higher AWS, Azure, or GCP certificationNice-to-HavesExposure to Terraform / Infrastructure as CodeFamiliarity with Snowflake, Redshift, Synapse, or BigQueryExperience with modern cloud data platformsWe 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.