Data Integration Developer

  • location: Rolling Meadows, IL
  • type: Temp to Perm
  • salary: $50 - $60 per hour
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job description

Data Integration Developer

job summary:
Senior Data Integration Developer

  • Collaborate with internal customers, prospects and stakeholders, understand and translates business use cases and/or requirements into data analysis and data mapping and consequently data integration routines which involves moving, cleansing and transforming large amount of data between multiple systems.
  • Identifies data sources, provides data flow diagrams and documents source to target mapping and process.
  • Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports
  • Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to hands on design and development of large complex ETL jobs.
  • Design, implement and maintain database objects (tables, views, indexes, etc.) and database security.
  • Validate data integration routines by developing and executing test plans and scenarios including data design, tool design, data extract/transform, networks, and hardware.
  • Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning etc.
  • Establish methods and procedures for tracking data quality, completeness, redundancy and improvement.
  • Work with the Data Architect to establish processes for governing the identification, collection and use of corporate metadata to assure metadata is accurate and valid in the business intelligence environments.
  • Ensure data quality through creation of audit controls, proactive monitoring and data cleansing techniques
Requirements:

  • 7+ years of experience in Data Warehousing and Business Intelligence (experience in a MPP considered a plus).
  • Must have worked in a multi-terabyte environment
  • 5+ Years in BI development leveraging the Microsoft SQLServer or PDW/ASP data environments.
  • 5+ years in SSIS and use of Stored Procedures.
  • 6 months to 1 Year experience in Azure Data Ware house, Azure Data Factory, SQL VMs
  • Strong understanding data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).
  • Deep understanding of relational database design concepts and SQL programming
  • Experience guiding/mentoring developers with lesser experience.
  • Requires strong analytical, conceptual and problem-solving abilities.
  • Strong experience with business intelligence and data warehousing design principles and industry best practices.
  • Bachelor's degree - preference in computer/information sciences or business/commerce.
Work Traits:

  • Strong communications skills - oral and written
  • Self-starter with strong work ethic
  • Flexible and resilient, handle various demands planned and unplanned
  • Proven ability to handle multiple tasks and projects simultaneously.
  • Problem solver and desire to close issues, pragmatic and realistic with solutions
  • Professional demeanor, working with senior level managers and vendors
  • Ability to work independently under minimal supervision and meet deadlines.
  • Strong sense of accountability, adaptability, flexibility and a sense of urgency.
  • Demonstrated ability to establish priorities, organize and plan work to satisfy established timeframes.
  • Passionate about continuously improving organizational practices.
  • Ability to learn and apply new technologies quickly and self-directed.
  • Ability to prioritize and multi-task across numerous work streams
 
location: Rolling Meadows, Illinois
job type: Contract
salary: $50 - 60 per hour
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
Senior Data Integration Developer

  • Collaborate with internal customers, prospects and stakeholders, understand and translates business use cases and/or requirements into data analysis and data mapping and consequently data integration routines which involves moving, cleansing and transforming large amount of data between multiple systems.
  • Identifies data sources, provides data flow diagrams and documents source to target mapping and process.
  • Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports
  • Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to hands on design and development of large complex ETL jobs.
  • Design, implement and maintain database objects (tables, views, indexes, etc.) and database security.
  • Validate data integration routines by developing and executing test plans and scenarios including data design, tool design, data extract/transform, networks, and hardware.
  • Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning etc.
  • Establish methods and procedures for tracking data quality, completeness, redundancy and improvement.
  • Work with the Data Architect to establish processes for governing the identification, collection and use of corporate metadata to assure metadata is accurate and valid in the business intelligence environments.
  • Ensure data quality through creation of audit controls, proactive monitoring and data cleansing techniques
Requirements:

  • 7+ years of experience in Data Warehousing and Business Intelligence (experience in a MPP considered a plus).
  • Must have worked in a multi-terabyte environment
  • 5+ Years in BI development leveraging the Microsoft SQLServer or PDW/ASP data environments.
  • 5+ years in SSIS and use of Stored Procedures.
  • 6 months to 1 Year experience in Azure Data Ware house, Azure Data Factory, SQL VMs
  • Strong understanding data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).
  • Deep understanding of relational database design concepts and SQL programming
  • Experience guiding/mentoring developers with lesser experience.
  • Requires strong analytical, conceptual and problem-solving abilities.
  • Strong experience with business intelligence and data warehousing design principles and industry best practices.
  • Bachelor's degree - preference in computer/information sciences or business/commerce.
Work Traits:

  • Strong communications skills - oral and written
  • Self-starter with strong work ethic
  • Flexible and resilient, handle various demands planned and unplanned
  • Proven ability to handle multiple tasks and projects simultaneously.
  • Problem solver and desire to close issues, pragmatic and realistic with solutions
  • Professional demeanor, working with senior level managers and vendors
  • Ability to work independently under minimal supervision and meet deadlines.
  • Strong sense of accountability, adaptability, flexibility and a sense of urgency.
  • Demonstrated ability to establish priorities, organize and plan work to satisfy established timeframes.
  • Passionate about continuously improving organizational practices.
  • Ability to learn and apply new technologies quickly and self-directed.
  • Ability to prioritize and multi-task across numerous work streams
 
qualifications:
Senior Data Integration Developer

  • Collaborate with internal customers, prospects and stakeholders, understand and translates business use cases and/or requirements into data analysis and data mapping and consequently data integration routines which involves moving, cleansing and transforming large amount of data between multiple systems.
  • Identifies data sources, provides data flow diagrams and documents source to target mapping and process.
  • Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports
  • Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to hands on design and development of large complex ETL jobs.
  • Design, implement and maintain database objects (tables, views, indexes, etc.) and database security.
  • Validate data integration routines by developing and executing test plans and scenarios including data design, tool design, data extract/transform, networks, and hardware.
  • Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning etc.
  • Establish methods and procedures for tracking data quality, completeness, redundancy and improvement.
  • Work with the Data Architect to establish processes for governing the identification, collection and use of corporate metadata to assure metadata is accurate and valid in the business intelligence environments.
  • Ensure data quality through creation of audit controls, proactive monitoring and data cleansing techniques
Requirements:

  • 7+ years of experience in Data Warehousing and Business Intelligence (experience in a MPP considered a plus).
  • Must have worked in a multi-terabyte environment
  • 5+ Years in BI development leveraging the Microsoft SQLServer or PDW/ASP data environments.
  • 5+ years in SSIS and use of Stored Procedures.
  • 6 months to 1 Year experience in Azure Data Ware house, Azure Data Factory, SQL VMs
  • Strong understanding data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).
  • Deep understanding of relational database design concepts and SQL programming
  • Experience guiding/mentoring developers with lesser experience.
  • Requires strong analytical, conceptual and problem-solving abilities.
  • Strong experience with business intelligence and data warehousing design principles and industry best practices.
  • Bachelor's degree - preference in computer/information sciences or business/commerce.
Work Traits:

  • Strong communications skills - oral and written
  • Self-starter with strong work ethic
  • Flexible and resilient, handle various demands planned and unplanned
  • Proven ability to handle multiple tasks and projects simultaneously.
  • Problem solver and desire to close issues, pragmatic and realistic with solutions
  • Professional demeanor, working with senior level managers and vendors
  • Ability to work independently under minimal supervision and meet deadlines.
  • Strong sense of accountability, adaptability, flexibility and a sense of urgency.
  • Demonstrated ability to establish priorities, organize and plan work to satisfy established timeframes.
  • Passionate about continuously improving organizational practices.
  • Ability to learn and apply new technologies quickly and self-directed.
  • Ability to prioritize and multi-task across numerous work streams
 
skills: Senior Data Integration Developer

  • Collaborate with internal customers, prospects and stakeholders, understand and translates business use cases and/or requirements into data analysis and data mapping and consequently data integration routines which involves moving, cleansing and transforming large amount of data between multiple systems.
  • Identifies data sources, provides data flow diagrams and documents source to target mapping and process.
  • Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports
  • Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to hands on design and development of large complex ETL jobs.
  • Design, implement and maintain database objects (tables, views, indexes, etc.) and database security.
  • Validate data integration routines by developing and executing test plans and scenarios including data design, tool design, data extract/transform, networks, and hardware.
  • Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning etc.
  • Establish methods and procedures for tracking data quality, completeness, redundancy and improvement.
  • Work with the Data Architect to establish processes for governing the identification, collection and use of corporate metadata to assure metadata is accurate and valid in the business intelligence environments.
  • Ensure data quality through creation of audit controls, proactive monitoring and data cleansing techniques
Requirements:

  • 7+ years of experience in Data Warehousing and Business Intelligence (experience in a MPP considered a plus).
  • Must have worked in a multi-terabyte environment
  • 5+ Years in BI development leveraging the Microsoft SQLServer or PDW/ASP data environments.
  • 5+ years in SSIS and use of Stored Procedures.
  • 6 months to 1 Year experience in Azure Data Ware house, Azure Data Factory, SQL VMs
  • Strong understanding data modeling (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts).
  • Deep understanding of relational database design concepts and SQL programming
  • Experience guiding/mentoring developers with lesser experience.
  • Requires strong analytical, conceptual and problem-solving abilities.
  • Strong experience with business intelligence and data warehousing design principles and industry best practices.
  • Bachelor's degree - preference in computer/information sciences or business/commerce.
Work Traits:

  • Strong communications skills - oral and written
  • Self-starter with strong work ethic
  • Flexible and resilient, handle various demands planned and unplanned
  • Proven ability to handle multiple tasks and projects simultaneously.
  • Problem solver and desire to close issues, pragmatic and realistic with solutions
  • Professional demeanor, working with senior level managers and vendors
  • Ability to work independently under minimal supervision and meet deadlines.
  • Strong sense of accountability, adaptability, flexibility and a sense of urgency.
  • Demonstrated ability to establish priorities, organize and plan work to satisfy established timeframes.
  • Passionate about continuously improving organizational practices.
  • Ability to learn and apply new technologies quickly and self-directed.
  • Ability to prioritize and multi-task across numerous work streams

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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