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Etl Engineer With Tableau Schaumburg Il

  • ... Posted on: Nov 12, 2025
  • ... Zodiac Solutions
  • ... Schaumburg, Illinois
  • ... Salary: Not Available
  • ... Full-time

Etl Engineer With Tableau Schaumburg Il   

Job Title :

Etl Engineer With Tableau Schaumburg Il

Job Type :

Full-time

Job Location :

Schaumburg Illinois United States

Remote :

No

Jobcon Logo Job Description :

Role- ETL Engineer with Tableau

Location- Schaumburg, IL (onsite- 3 days a week)

Duration- Long term contract

Visa: Only US Citizens

Core Technical Skills required-

The ideal candidate will possess deep expertise in data engineering practices, data warehousing, and programming, with a strong focus on data quality and optimization.

Programming & Libraries:

Expert proficiency in Python is required, specifically within data-centric project environments.

Extensive, hands-on experience utilizing key Python data science and engineering libraries, including Pandas, SQLAlchemy, NumPy, and similar tools for complex data processing, transformation, and modeling.

Database & Cloud Technologies:

Demonstrated experience in connecting to and working with enterprise-level databases, preferably AWS Redshift.

Ability to extract, process, clean, and enrich data from source systems to ensure high quality and business value within the data warehouse.

SQL & Optimization:

Highly skilled in SQL, with the ability to write complex, efficient queries across multiple database tables.

Proven experience in query performance tuning and optimization to ensure fast and scalable data retrieval.

Data Integration & ETL:

Experience using Software Development Kits (SDKs) to perform Extract, Transform, Load (ETL) operations and ingest data into a central data hub.

Proficiency in the full ETL pipeline lifecycle, including data mapping, data cleansing, and structuring raw data into defined models.

Tableau Report Development:

Design, develop advanced Tableau visualizations, dashboards, and reports that meet clear business requirements and adhere to best practices for data visualization

Collaborate with data engineering teams to validate data sources, identify data quality issues, and ensure the underlying data infrastructure supports reporting needs.

Thanks,

Sanjay Kumar

Jobcon Logo Position Details

Posted:

Nov 12, 2025

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-095176c8286576ba18dc6e7a69536a981f3401ef0f01cebd046f4c8a3a552293

City:

Schaumburg

Job Origin:

CIEPAL_ORGANIC_FEED

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Role- ETL Engineer with Tableau

Location- Schaumburg, IL (onsite- 3 days a week)

Duration- Long term contract

Visa: Only US Citizens

Core Technical Skills required-

The ideal candidate will possess deep expertise in data engineering practices, data warehousing, and programming, with a strong focus on data quality and optimization.

Programming & Libraries:

Expert proficiency in Python is required, specifically within data-centric project environments.

Extensive, hands-on experience utilizing key Python data science and engineering libraries, including Pandas, SQLAlchemy, NumPy, and similar tools for complex data processing, transformation, and modeling.

Database & Cloud Technologies:

Demonstrated experience in connecting to and working with enterprise-level databases, preferably AWS Redshift.

Ability to extract, process, clean, and enrich data from source systems to ensure high quality and business value within the data warehouse.

SQL & Optimization:

Highly skilled in SQL, with the ability to write complex, efficient queries across multiple database tables.

Proven experience in query performance tuning and optimization to ensure fast and scalable data retrieval.

Data Integration & ETL:

Experience using Software Development Kits (SDKs) to perform Extract, Transform, Load (ETL) operations and ingest data into a central data hub.

Proficiency in the full ETL pipeline lifecycle, including data mapping, data cleansing, and structuring raw data into defined models.

Tableau Report Development:

Design, develop advanced Tableau visualizations, dashboards, and reports that meet clear business requirements and adhere to best practices for data visualization

Collaborate with data engineering teams to validate data sources, identify data quality issues, and ensure the underlying data infrastructure supports reporting needs.

Thanks,

Sanjay Kumar

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