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Company

Original Job Post

BioSpace · 1 week ago

Business Intelligence Engineer

North Chicago, IL

Full-time

Onsite

Entry, Mid Level

$140K/yr - $158K/yr

3+ years exp

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Comp. & Benefits

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Responsibilities

Work with business requirements to identify and understand source data systems.

Provide resolutions to all data issues and coordinate with data analyst to validate all requirements.

Develop and perform tests and validate all data flows and prepare all ETL processes according to business requirements and incorporate all business requirements into all design specifications using SQL.

Utilize experience in Snowflake, SQL, and AWS infrastructure.

Design, develop, and debug new business intelligence tools to solve complex engineering challenges in a dynamic environment.

Utilize experience in ETL and/or other data manipulation languages such as Python, SAS, and R.

Adapt ETL processes to accommodate changes in source systems and new business user requirements.

Provide application analysis and data modeling design to collect data for centralized data warehouse.

Ensure high levels of business Intelligence availability through support functions and in-depth testing.

Responsible for properly following all IT standards, processes, and methodologies as applicable including but not limited to Quality Assurance (QA).

Collaborate with customers and stakeholders as well as other members of IT.

Work with Data tools like AWS Lambda, Step Functions, CloudWatch, Eventbridge and Snowflake to deliver Data products.

Architect and design the implementation plan for delivering the Data Products across Finance, Data Science etc.

Connect data sets to data visualization tools and create reports using Tableau and Power BI.

Cross Collaborate with different teams in the organization

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWS LambdaStep FunctionsCloudWatchEventbridgeSnowflakeSQLAWS infrastructureETLPythonSASRData visualization toolsTableauPower BI

Required

Must possess a Bachelors degree or foreign academic equivalent in Computer Science, Data Engineering, or a highly related field of study with at least 3 years of related experience in:

- working with Data tools like AWS Lambda, Step Functions, CloudWatch, Eventbridge and Snowflake to deliver Data products;

- experience in SQL and AWS infrastructure;

- experience in ETL and other data manipulation languages such as Python, SAS, and R;

- connecting data sets to data visualization tools and creating reports using Tableau and Power BI.