Job Location: Burbank, CA
A health services organization in California is currently seeking an experienced Data Engineer for a promising opportunity with their growing staff. In this role, the The Data Engineer will be responsible for designing, developing, testing, and maintaining efficient and sustainable data pipelines to keep data accessible and ready for analysis.
***This is a Hybrid role requiring the qualified professional to work onsite every Tuesday.***
Responsibilities:
The Data Engineer will:
- Work closely with Data Experts to build and maintain data pipelines, KPI data dictionary, metadata, data standards, and ensure adherence to the Plans Analytics methodologies and highest data quality standards
- Engage business teams to understand requirements, document them and deliver robust and scalable solutions in the form of data models that can be leveraged for self-service analytics
- Explore ways of modeling the Plans unstructured voice and text data into frameworks fit for analysis
- Design conceptual, logical and physical data models, maintain data dictionary and capture metadata
- Perform gap analysis as needed for purposes of maintaining, continuously enhancing data models and integrating KPI’s into the analytics platform as and when new KPI and business metrics are adapted by the organization
- Work with application development team to deploy analytics data products through such ways as embedding analysis models into business applications and mobile solutions
- Establish and maintain provenance, integrity and security of data used for self-service reporting, ad-hoc analysis or other levels of analysis
- Utilize ETL tools and other data pipeline automation techniques to develop and maintain source to target mapping that includes extract requirements, derived field logic, domain values and data lineage
- Ensure developed data models are easy to use and efficient to access data thus enable transparency of data lineage to business teams and all stakeholders
- Maintain highest data quality, accuracy and completeness levels by constantly monitoring, measuring and implementing improvements to achieve data quality goals
- Perform other duties, as needed
Qualifications:
- 3+ years of experience in Data Engineering, Data Modeling or Data Architecture
- Bachelor’s Degree in Computer Science, Information Systems, or other related field
- focus on multidimensional Data Modeling for both Structured and Unstructured Data
- Experience in relevant technical languages and tools such as SQL, Python, NoSQL, Airflow, Oracle, PL/SQL, ERWIN, Snowflake, Redshift, Kinesis, Kafka, S3, Spark. Any exposure to cloud technologies – AWS, GCP, Azure is an added advantage.
- Experience designing conceptual, logical and physical data models and maintaining data dictionary and capturing metadata.
- Experience creating and maintaining automated data pipelines, data standards, and best practices to maintain integrity and security of the data; ensure adherence to developed standards.
- Experience in developing and maintaining source to target mapping that includes extract requirements, derived field logic, domain values and data lineage
- Great interpersonal skills
- Excellent communication skills (written and verbal)
- Strong atteniton to detail
- Highly organized
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