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ETL Lead

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Database Administrator
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Technical Leadership
  • Define and implement ETL architecture, standards, and best practices.
  • Select and manage ETL tools and technologies (e.g., Informatica, SAP BODS, Tableau, Unix, Oracle, SQL Server).
  • Monitor and optimize ETL job performance, identifying and resolving bottlenecks.
  • Oversee data quality checks and validation processes throughout the ETL pipeline.
  • Project Management
  • Lead ETL projects from initiation to deployment, including requirement gathering, design, development, testing, and implementation.
  • Manage project timelines, budgets, and resource allocation for ETL initiatives.
  • Collaborate with cross-functional teams (data analysts, business users, database administrators) to ensure data integration needs are met.
  • Team Management
  • Mentor and guide ETL developers on technical best practices and problem-solving.
  • Conduct performance evaluations and provide feedback to team members.
  • Recruit and hire new ETL developers as needed.
  • Data Governance
  • Establish data quality standards and metrics to monitor data integrity.
  • Implement data security protocols to protect sensitive information.
  • Ensure compliance with data privacy regulations.
  • Required Skills and Experience
    • Strong technical expertise in ETL concepts and tools: Deep understanding of data extraction, transformation, and loading techniques, proficiency in at least one major ETL tool.
    • Database knowledge: Expertise in SQL querying and database design (e.g., Oracle, SQL Server, MySQL).
    • Programming skills: Familiarity with scripting languages (e.g., Python, Java) can be beneficial.
    • Data warehousing knowledge: Understanding of data warehouse architecture and data modeling concepts.
    • Project management skills: Experience in planning, executing, and monitoring complex ETL projects.
    • Communication and collaboration skills: Ability to effectively communicate technical concepts to business stakeholders and work collaboratively with cross-functional teams.
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