Data Analyst/Engineer - Remote

Date Posted: 07/19/2021

This is a six month contract role with a large healthcare organization.

Open to CTC, but cannot provide sponsorship.

Ideal Candidate Background:
a. Oracle PL/SQL development needed; UNIX/Linux would be helpful.
b. Good hands on experience in SQL and Java/Scala
c. Experience with relational databases such as SQL Server/Oracle/Teradata/IBM DB2/MySQL
d. Experience in working with end to end data engineering projects and setting up required tools in Linux environment for application releases.
e. ETL/Data Warehouse concepts needed; large volume data movement and ETL tools
f. Ability to analyze and understand data & its business context, to map or extend existing data models and/or design new structures
g. Strong data visualization skills and experience using Tableau or other reporting solutions (SharePoint or Excel) strongly preferrable for at least one candidate
h. Experience with Document DBs, NoSQL, Distributed queues etc.
i. Experience with GitHub or other version management would be preferable
j. Experience with Agile framework, Data Warehousing Design, Cloud Technologies would be preferable
k. Knowledge of Python would be preferable

Day to Day:

1. Focus area: Data Analytics - data analytics and data transformation (ETL) to support program enhancements
2. Individuals would participate on a team of data report analysts, data quality analysts, and engineers/architects
3. Requirements gathering to define logic for business metrics and analytics; develop code crosswalks, data mappings, and summarized data sets in support of dashboards & report calculations; create and maintain reports
4. Data transformation to support front-end reporting analytics, along with ability to understand and utilize ETL ‘back end’ data transformation, development, and configuration.
5. Demonstrated ability to analyze technical and domain related issues in live applications, support business queries and questions related to application output and business logic.
6. Experience designing, developing and implementing and maintaining database and programs to manage data analysis efforts.
7. Deep experience in data modelling, data analysis and relational database design.


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