BI Engineer

Health Care Service Corporation•Chicago, IL

4d•$70,600 - $149,600

About The Position

An individual with the ability to design and develop data Integrations to deliver Enterprise BI Data Marts and BI Semantic Data layer(s). This role required strong technical skills in platforms such as RDMBS, MPP Platforms (Teradata), Hadoop Datalake and Azure cloud with ability to design and develop end to end data integration pipelines. As an Sr BI Engineer in the Enterprise Business Analytics & Business Intelligence team, this role is expected to manage multiple projects within the team and support others within the DAS organization. Many of these projects/initiatives are part of the HCSC & DAS initiatives to improve data processes, technology infrastructure and reporting/analytical services.

Requirements

Bachelor’s degree with 2 years of experience OR Masters Degree or 6 years of equivalent experience with data integration platforms
Minimum 1 years of experience working with SQL Experience.
Minimum 1 years of experience working in Data and Analytics tools and solutions.
Knowledge of Business Intelligence Architecture and technologies.
Experience working with a data architecture team to develop/manage a universal semantic model
Knowledge and understanding of Hadoop tech stack like HDFS, Hive, HQL, Spark, Scala, Pyspark/python, Sqoop.
Knowledge and understanding of MPP platforms like Teradata BTEQ, SQL etc
Knowledge and understanding of Azure Cloud Analytics Services Synapse, ADLS, ADF, Azure SQL etc.
Knowledge of DevOps / continuous deployment / integration process and tools.
Knowledge of working with Enterprise grade scheduling tools like control M, Zena etc
Strong analytical skills
Written, communications and presentation skills
Proactive self-starter, quick-learner, flexible team-player, ability to work both independently and as part of a team
Ability to multi-task, maintain strong attention to detail, and prioritize work within tight deadlines.

Nice To Haves

Healthcare sector experience preferred
Analytical thinking and problem-solving ability.
Strong knowledge of SQL, analytics tools and languages to analyze large data sets from multiple data sources
Anticipates and prevents problems and roadblocks before they occur
Be an avid learner, gain a solid understanding of available data and promote innovative insights.

Responsibilities

Design and develop data Integrations to deliver Enterprise BI Data Marts and BI Semantic Data layer(s).
Manage multiple projects within the team and support others within the DAS organization.
Improve data processes, technology infrastructure and reporting/analytical services.
Source, interpret and present analytics in a thoughtful and meaningful manner.
Work with business stakeholders to design, develop data products solution to enable insights.