Job
Description
In this vital role We are seeking aAssociate Data Engineerto design, build, and maintain scalable data solutions that drive business insights. You will work withlarge datasets, cloud platforms (AWS preferred), and big data technologiesto develop ETL pipelines, ensure data quality, and support data governance initiatives. Develop and maintaindata pipelines, ETL/ELT processes, and data integration solutions. Design and implementdata models, data dictionaries, and documentationfor accuracy and consistency. Ensuredata security, privacy, and governancestandard processes. UseDatabricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift,for scalable data processing. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Optimize data pipeline performance and explore new tools for efficiency. Follow best practices incoding, testing, and infrastructure-as-code (CI/CD, version control, automated testing). What we expect of you We are all different, yet we all use our unique contributions to serve patients. Strongproblem-solving, critical thinking, and communicationskills. Ability tocollaborate effectivelyin a team setting. Proficiency inSQL, data analysis tools, and data visualization. Hands-on experience withbig data technologies (Databricks, Apache Spark, AWS, Redshift ). Experience withETL tools, workflow orchestration, and performance tuning for big data. Basic Qualifications: Bachelors degree and 0 to 3 years of experience OR Diploma and 4 to 7 years of experience in Computer science, IT or related field. Preferred Qualifications: Knowledge ofdata modeling, warehousing, and graph databases Experience withPython, SageMaker, and cloud data platforms. AWS Certified Data Engineer orDatabricks certificationpreferred.
