1671 Engineer Analyst Observability Tools jobs in Chicago,IL

Data Engineer

Covista

La Grange, IL 60525

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Required.
Three (3) plus years of experience in building data lakes and cloud data platforms.
Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
Expert knowledge on SQL and Python programming.
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Experience in tuning queries for performance and scalability
Experience working in agile environment.
*****Applicants must be currently authorized to work in the United States on a full-time basis. Covista will not sponsor applicants for work visas.*****

Stout

Chicago, IL 60606

Cooley LLP

Chicago, IL 60290

Argonaut Management Services

Chicago, IL 60290

TEKsystems

Chicago, IL 60290

AHEAD

Chicago, IL 60606

WORLDPAC

Oak Brook, IL 60523

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Business Administration, or a related field.
5 - 7 years of experience as a Data Analyst, BI Analyst, or similar analytics-focused role.
Strong SQL skills with hands-on experience querying cloud data warehouses (Snowflake strongly preferred).
Demonstrated advanced/expert level experience building dashboards and reports using Power BI, including use of semantic models and Microsoft Fabric.
Experience defining and validating KPIs and business metrics.
Solid understanding of descriptive and basic inferential statistics for business analysis.
Advanced Excel for analysis and modeling.
Understanding data governance, metric standardization, and data quality concepts.
Experience working in agile analytics or BI environments using Jira and Confluence, ServiceNow and/or similar tools.
Strong analytical thinking, attention to detail, and problem-solving skills.
Excellent written and verbal communication skills, with the ability to convey insights clearly to non-technical audiences.