Job
Description
What you will do In this vital role We are seeking a Associate Data Engineer to design, build, and maintain scalable data solutions that drive business insights. You will work with large datasets, cloud platforms (AWS preferred), and big data technologies to develop ETL pipelines, ensure data quality, and support data governance initiatives. Develop and maintain data pipelines, ETL/ELT processes, and data integration solutions . Design and implement data models, data dictionaries, and documentation for accuracy and consistency. Ensure data security, privacy, and governance standard processes. Use Databricks, 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 in coding, 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. Strong problem-solving, critical thinking, and communication skills. Ability to collaborate effectively in a team setting. Proficiency in SQL, data analysis tools, and data visualization . Hands-on experience with big data technologies (Databricks, Apache Spark, AWS, Redshift ) . Experience with ETL 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 of data modeling, warehousing, and graph databases Experience with Python, SageMaker, and cloud data platforms . AWS Certified Data Engineer or Databricks certification preferred.
