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Azure Data Engineer
2 months ago
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.
6 years of hands-on experience in data engineering/ETL using Databricks on AWS / Azure cloud infrastructure and functions.
Deep understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized, OBT) implementing highly performant data ingestion pipelines from multiple sources
Databricks Hands-on experience with Databricks for big data processing, model training, and inference at scale.
Deep level of skills with Python / PySpark and SQL
Demonstrable experience in developing and nurturing a Data Engineering framework to include package/dependency management tools (e.g., Poetry), functional testing (e.g., Pytest, Pytest-Cov, PyLint), and load testing.
Experience with CI/CD on Databricks using tools such as Jenkins, GitHub Actions, and Databricks CLI
Integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories.
** Preference will be given to candidates who can join immediately.