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ETL Developer
  • Voto Consulting LLC
82 Days Ago
NA
NA
Chicago-IL
8-10 Years
Required Skills: Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, Apache Iceberg, CloudWatch, SNS, SQS, EventBridge
Job Description
Job Title: ETL Developer
Location: Chicago, IL (Hybrid)
Need candidate some from local to Chicago itself.
Contract Duration: 1 Year
 
Work Location & Schedule:
Must be based in Chicago, IL.
Hybrid model: Currently, office attendance is required every Tuesday and Wednesday on alternate weeks (subject to change in the future).
 
Top Required Skills:
Programming: Proficiency in Python or PySpark.
SQL Expertise: Advanced SQL development, debugging, and optimization.
Cloud Technologies: Hands-on experience with AWS services such as Glue and Step Functions.
Database Knowledge: Strong understanding of database internals, especially AWS RDS MySQL.
Big Data Processing: Experience in handling large-scale data processing.
 
Nice-to-Have Skills & Certifications:
Experience leading ETL development teams.
Familiarity with Apache Iceberg.
Experience with observability tools such as Dynatrace or Datadog.
 
Job Summary:
The ETL Developer will be responsible for designing, developing, testing, and maintaining scalable data processing systems. This role involves working with various AWS services, databases, and big data processing tools to ensure seamless extraction, transformation, and loading (ETL) of data across multiple platforms.
 
Primary Responsibilities:
Design, implement, deploy, and optimize backend ETL services.
Support enterprise-scale data solutions using AWS analytics services.
Analyze complex datasets and provide efficient technical solutions.
Maintain and support ETL schedules while ensuring compliance.
Develop and enforce coding standards for ETL processes and project lifecycle management.
Collaborate with architects, platform engineers, developers, and product owners to enhance data processing procedures.
Perform root cause analysis and monitoring of production databases and ETL environments.
Assist in creating functional specifications, technical designs, and business process documentation.
Implement best practices for production and non-production environments in an automated setting.
Provide technical guidance, effort estimation, and impact analysis.
Report project status updates and issues to management in a timely manner.
 
Qualifications & Experience:
Minimum 6+ years of experience in ETL development, including data cleansing, profiling, transformation, and workflow scheduling.
Expert-level proficiency in SQL development, debugging, and optimization.
3-4 years of hands-on programming experience in Python or PySpark/Glue.
Strong knowledge of big data design patterns, models, and architectures.
Experience with AWS services, including:
Glue, S3, Redshift, Lambda, Step Functions, RDS Aurora/MySQL, Apache Iceberg, CloudWatch, SNS, SQS, EventBridge.
Ability to troubleshoot common database issues and familiarity with observability tools.
Self-starter with a proactive approach to problem-solving.
Strong accountability and a commitment to seeing projects through to completion.
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