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Data Engineer
Data EngineerAditi Consulting • Peoria, IL
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Data Engineer

Data Engineer

Aditi Consulting • Peoria, IL
9 days ago
Job type
  • Full-time
Job description

Payrate: $ - $

Position Contributions to Work Group:
  • Perform all necessary data related tasks which could include data design, data quality, data triage, data governance or data architecture – SQL, Snowflake, AWS
  • Develop a break/fix solution and address the root cause in the data pipeline implementation/code – Python, AWS
  • Develop scripts and automation tools to better detect and correct data issues.
  • Develop monitoring and alerting capabilities to proactively detect data issues
  • Works directly on complex application/technical problem identification and resolution, including responding to off-shift and weekend support calls.

Typical task breakdown:
  • Identify, investigate, and obtain resolution commitments for platform and data issues to maintain and improve the quality and performance of assigned digital product data.
  • Issue Identification: Reports in all forms from customers, dealers, industry representatives, and subsidiaries.
  • Issue Investigation: Statistical analysis, data triage, and infrastructure problem-solving.
  • Issue Resolution: Identify root causes, create SageMaker scripts to fix data, and perform break/fix tasks on data pipeline code.
  • Develop scripts and automation tools to better detect and correct data issues.
  • Develop monitoring and alerting capabilities to proactively detect data issues.
  • Work directly on complex application and technical problem identification and resolution, including responding to off-shift and weekend support calls.
  • Communicate with end users and internal customers to help direct the development, debugging, and testing of application software for accuracy, integrity, interoperability, and completeness.
  • Employees are also responsible for performing other job duties as assigned by management from time to time.

Education & Experience Required:
  • A -year degree and/or master’s degree from an accredited college or university or equivalent experience
  • - years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.)

Technical Skills:
  • - years’ experience in data management or data engineering or data operations (data design, data quality, metadata, governance, etc.)
  • Experience with development and delivery of microservices using serverless AWS services (S, RDS, Aurora, DynamoDB, Lambda, SNS, SQS, Kinesis, IAM)
  • years or more of experience in a Cloud environment (AWS, Snowflake)
  • Strong SQL and Python
  • Strong AWS experience, including SageMaker, S, RDS, Cloudwatch and related services
  • Strong Snowflake experience
  • Strong SQL, Python development skillset
  • Understanding of logical data Domains, primarily Customer & Equipment Domains
  • Experience in Data Operations, Tier Support, or comparable Data Engineering Support role
  • Strong knowledge of end-to-end data lifecycles across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics.
  • Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).
  • Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment.

Soft Skills:
  • Verbal and written communication skills. Ability to clearly communicate complex technical ideas
  • Problem solving skills, customer service and interpersonal skills
  • Ability to work collaboratively in a complex, rapidly changing, and culturally diverse environment

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Data Engineer • Peoria, IL

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