Associate Data Engineer

Roles & Responsibilities: 

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate and communicate effectively with product teams
• Identify and resolve complex data-related challenges
• Adhere to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation

What we expect of you 

• We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Bachelor's degree and 0 to 3 years of Computer Science, IT or related field experience
• Diploma and 4 to 7 years of Computer Science, IT or related field experience
• Preferred Qualifications:
• Functional Skills:

Must-Have Skills :

• Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing
• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools.
• Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores.
• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

Good-to-Have Skills:

• Experience with data modeling, performance tuning on relational and graph databases ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore).
• Understanding of data modeling, data warehousing, and data integration concepts
• Knowledge of Python/R, Databricks, SageMaker, cloud data platform
• Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing

Professional Certifications : 

• AWS Certified Data Engineer preferred
• Databricks Certificate preferred