The ideal candidate will be responsible for developing high-quality applications. They will also be responsible for designing and implementing testable and scalable code.

Skill Required :- Matillion

Responsibilities:

• Assist in product development using cloud platforms for ELT

• Use claims/patient data business rules to build out data flows to meet analysis objectives

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Matillion, Snowflake, and Python

• Build analytics tools using Power BI and Tableau that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Use GitHub SCM for version and release management

• Perform test and QC on all development work

• Work with data and analytics experts to strive for greater functionality in our data systems

• Candidate need to comply with applicable Information security responsibilities

Qualifications:

• Experience with cloud data platforms, preferably Snowflake and Matillion ELT

• Experience working with large datasets (Billions of rows)

• Experience with cloud data management tools: Azure Storage Explorer, FTP, Azure BLOB Storage, S3 Buckets

• Experience with R Programming Python

• Strong SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Snowflake or other cloud database experience preferred

• Experience building and optimizing claims data pipelines, architectures/data models and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Experience with the Agile workflow, Test Driven Development, and continuous improvement/continuous deployment.

• Strong analytic skills related to working with structured and unstructured datasets.

• Build processes supporting data transformation, data structures, metadata, dependency and workload management using Azure Automation, Azure Function Apps, and Azure Data Factory.

• Strong self-organizational skills.

• We are looking for a candidate with 1+ years of experience in a Data Engineer or Software Engineer role, who has attained a Graduate degree in Software Engineering, Computer Science, or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Matillion or other ETL/ELT tools

• Experience with building relational SQL databases

• Experience with data pipeline and workflow management tools: Azure Data Factory, SSIS,

• Python

• Experience with Git/GitHub and automating builds.

Nice to have, but not required:

• Experience working with US closed and open claims datasets (e.g. Marketscan, Pharmetrics, IQUVIA)

• Experience working with longitudinal patient data

• Experience with epidemiological terms and applications to patient data sets