Sr. Data Engineer - Provider Registry - Remote

Nava Software Solutions

NAVA Software solutions is looking for a Sr. Data Engineer - Provider Registry

Details:

Sr. Data Engineer - Provider Registry

Location: Remote project

Duration: 6-12 months

The Senior Data Engineer will apply a logical, systematic approach to problem-solving using mathematical and statistical techniques and/or innovative/quantitative analytical approaches to identify and qualify the Provider Registry and make recommendations to resolve business problems and help drive change. This involves gathering, manipulating and synthesizing data, models and other relevant information to draw conclusions and provide segmentation of the Provider Registry.The right person for this role will have a background in Data Engineering, will have rich experience building robust software solutions, and will have experience working with large data sets.

What You Will Do:

Applying new algorithms to enable fuzzy matching
Scaling application of the algorithm using dataframes such as Pandas and GPUs
Applying new algorithms to introduce new linkages from the data
Segmentation using diverse intuitive and non-intuitive data points and potentially fuzzy matching data sources
Working to design and build new approaches to measuring quality and improving algorithms and matching processes
Working with the data platform to build solutions
Prepare reports and present analytic results in non-technical language with an orientation toward answering questions and addressing issues

Skills and Experience You Will Need:

Experience building production data pipelines with distributed data processing technologies.
Hands-on and deep experience with schema design and data modeling.
Proficiency in Python and are passionate about writing clean, supportable code.
Advocacy for data quality. You have a strong opinion on when data audits, unit tests, and documentation can be most effective.
Technical thought leadership
Proficient business skills to understand problems and build the algorithms necessary to find the right answers applicable to the business needs
Experience and enjoy mentoring others.

Ideal Candidate:

5+ years experience as a Data Engineer\Developer
Python
Experience with Scala, Pandas
Experience debugging complex data pipelines
Experience with Unix/Linux
Azure or AWS experience
Experience with databases
RDBMS/SQL
Experience with data normalization

Desired Skills:

Experience with Big Data fundamentals
Machine learning libraries on Python (including unsupervised learning models)
Hadoop, Spark, Parquet
Experience with AWS
Experience with APIs
Experience with Java
Experience with streaming technologies
Kafka, Flink, Spark Streaming
Experience with NoSQL databases
Experience with monitoring tools
Knowledge of K8s/Docker

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Vacancy posted 1 day ago

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