Overview
Skills
Job Details
Title: Data Engineer
Location: TX; Westlake
Duration:12 + Months
Job Description:
Top Skills:
- Cloud Expertise understand the cloud components using Lambda & S3 to move the data around
- SageMaker
- Snowflake set up pipelines
- EDL Pipelines
- AWS required (Alternative experience cannot be substituted)
Nice to have:
Create Views
RBAC
Job Description:
Outspoken and engaged data practitioner, collaborating with the squad to deliver high-quality data solutions.
Strong SQL skills and experience wrangling and/or reporting experience on multiple database platforms, and some data analysis.
Strong cloud Enterprise-wide data lake (EDL) experience.
Strong EDL data pipeline building experience with PostgreSQL, DynamoDB, and Snowflake databases.
Collaborating with offshore team members to deliver technical solutions.
Bachelor s Degree or equivalent in a technology-related field (e.g., Computer Science, Engineering, etc.) with a focus on data analysis, data structures, or data modelling.
An MBA is a plus.
The Skills You Bring
Solid understanding of data lineage. Ability to break down and detail the flow of data from origination to consumption.
Knowledge of the health insurance industry and practices, including applicable laws and regulations.
Proven track record of solving real-world problems using a design-oriented modelling approach in large data warehouses, data marts, and analytics/reporting platforms.
Understanding of different database platforms (e.g., Oracle, Snowflake, DynamoDB) usages (OLTP, Record-keeping, ODS, MDM, Warehousing, and Data Lakes).
Robust SQL experience, used to design new platforms on cloud technologies/architecture, including Snowflake, AWS, etc.
Monitoring the market to remain current regarding the major health plans, administrators, and other vendors available in the marketplace to consult clients and prospects, as well as new, innovative solutions.
Experience carrying out projects in an Agile environment.
Having outstanding interpersonal skills with experience collaborating and influencing across all levels of the organization, including written, verbal, and technological illustrations.
Go-getter, self-sufficient, and willing to exhaust all research avenues before seeking help or discontinuing the search for answers.
Accepts uncertainty and can combine various sources of information, including personal data experimentation, research, and dialogues, to formulate answers.
Understanding of modelling strategies (dimensional, relational, unstructured).
Excitement about working on a multi-functional team of data scientists, architects, operations, and retirement plan specialists and partnering with an offshore technology team to review requirements.