ETL Developer

Denver, CO - USA

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA

Summary
An ETL Developer is responsible for designing developing and maintaining ETL (Extract Transform Load) processes to integrate data from multiple sources into data warehouses or analytics platforms. This role focuses on building efficient reliable and scalable data pipelines to support business intelligence reporting and analytics initiatives.

Key Responsibilities

Design develop and maintain ETL workflows and data pipelines to extract data from multiple sources.
Transform cleanse and validate data to ensure quality and consistency.
Load data into data warehouses data lakes or analytics platforms efficiently and accurately.
Collaborate with data analysts data engineers and business stakeholders to gather requirements.
Optimize ETL processes for performance scalability and reliability.
Monitor ETL jobs and troubleshoot failures to ensure timely data delivery.
Document ETL processes data mappings and workflows for knowledge sharing and compliance.
Implement data validation error handling and logging mechanisms.
Ensure adherence to data governance security and compliance standards.
Participate in design reviews code reviews and agile development ceremonies.
Stay updated with emerging ETL tools technologies and best practices.
Mentor junior developers and contribute to team knowledge sharing initiatives.

Qualifications

Bachelors degree in Computer Science Information Technology or related field.
3-6 years of experience in ETL development data integration or data engineering.
Strong experience with ETL tools such as Informatica Talend SSIS or DataStage.
Proficiency in SQL relational databases and data modeling concepts.
Understanding of data warehousing business intelligence and analytics concepts.

Preferred Skills / Duties

Experience with cloud data platforms (AWS Redshift Azure Synapse Google BigQuery).
Knowledge of Python Java or other scripting languages for data transformation.
Familiarity with data governance metadata management and data quality best practices.
Strong problem-solving analytical and communication skills.
Ability to work in agile environments and collaborate with cross-functional teams.
Experience with version control CI/CD pipelines and automation in data workflows.

Hiring: W2 Candidates OnlyVisa: Open to any visa type with valid work authorization in the USA SummaryAn ETL Developer is responsible for designing developing and maintaining ETL (Extract Transform Load) processes to integrate data from multiple sources into data warehouses or analytics platforms. ...

Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA

Key Responsibilities

Design develop and maintain ETL workflows and data pipelines to extract data from multiple sources.
Transform cleanse and validate data to ensure quality and consistency.
Load data into data warehouses data lakes or analytics platforms efficiently and accurately.
Collaborate with data analysts data engineers and business stakeholders to gather requirements.
Optimize ETL processes for performance scalability and reliability.
Monitor ETL jobs and troubleshoot failures to ensure timely data delivery.
Document ETL processes data mappings and workflows for knowledge sharing and compliance.
Implement data validation error handling and logging mechanisms.
Ensure adherence to data governance security and compliance standards.
Participate in design reviews code reviews and agile development ceremonies.
Stay updated with emerging ETL tools technologies and best practices.
Mentor junior developers and contribute to team knowledge sharing initiatives.

Qualifications

Bachelors degree in Computer Science Information Technology or related field.
3-6 years of experience in ETL development data integration or data engineering.
Strong experience with ETL tools such as Informatica Talend SSIS or DataStage.
Proficiency in SQL relational databases and data modeling concepts.
Understanding of data warehousing business intelligence and analytics concepts.

Preferred Skills / Duties

Experience with cloud data platforms (AWS Redshift Azure Synapse Google BigQuery).
Knowledge of Python Java or other scripting languages for data transformation.
Familiarity with data governance metadata management and data quality best practices.
Strong problem-solving analytical and communication skills.
Ability to work in agile environments and collaborate with cross-functional teams.
Experience with version control CI/CD pipelines and automation in data workflows.