senior data engineer.

job summary: Required Job Qualifications *Bachelor Degree and 4 years Information Technology OR Technical Certification and/or College Courses and 6-year Information Technology experience OR 8 years Information Technology experience. *Knowledge of Big Data (Hadoop)application development & configuration *Knowledge of Hadoop technologies: Hive, Unix, Unix Scripting, Spark, Talend, SQl, HQL, Zena, Control-M * Knowledge of mainframe technologies: COBOL, CICS, JCL, DB2, VSAM, Batch jobs and Procedures * Knowledge of code deployments and SIT / UAT across Test, Cycle and Production environments * Inter-testing with various applications * Exposure to integration with various applications *Requirements analysis, Systems Analysis and Developing Logical & Physical designs *SDLC Methodology - Optimized Waterfall. Exposure to Agile / Scrum / Iterative Development *Problem solving and analytical thinking *strong oral/written communication skills  location: CHICAGO, Illinois job type: Contract salary: $54 - 61 per hour work hours: 8am to 4pm education: Bachelors   responsibilities: This position is responsible supporting enhancements and new capabilities to an existing, critical, mainframe based business application within Claims applications space. As a systems analyst, it is required you bring strong experience of performing Systems Analysis for various projects and build a backlog of systems requirements that can be assigned to various developers. You are for also responsible for ensuring reviews of the requirements, designs, code and help plan SIT and UAT testing as well as releases. You will be working closely with the business team comprising of business analysts, business owners, QA team as well as IT team members like Applications Architects, Developers, product and project managers and other team members.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: MainframeBusiness Analysis 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. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: This role is perfect for a data analyst who wants to move to a more technical engineering role, or data engineer who wants to get deeper knowledge and understanding of the reference, market data and options analytics.   location: Chicago, Illinois job type: Permanent salary: $130,000 - 140,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Provide Level-1 and Level-2 support to reference data applications during working hours covered in the location's time zoneBuild new and maintain existing data pipelines for reference and market dataRecommend and implement improvements to existing processes and toolsReview and improve existing data quality rule and controlsDevelop and implement quantitative software applications to process and analyze financial market data in a high-performance computing environmentProcess, collect, and analyze financial market data, including pricing, dividends, corporate actions, and analytic dataRegular communication with senior management and technical colleaguesWork with quantitative developers to monitor and improve the quality of analytical data generated from our applications; develop/work with application developers, designers and product managers to add or modify reference data sourcesWork with product managers and business development team to write documentation, technical specifications, project plans and sales material for our data and applicationsAd-hoc analysis and reporting as requested The essential functions of this role include:working in a smoke free environment  qualifications: Experience level: ExperiencedMinimum 7 years of experienceEducation: Bachelors (required)  skills: Data AnalysisData Engineer (5 years of experience is required) 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. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

job summary: Our client's location in Chicago, IL, currently has an opportunity for a Senior Data Engineer II. This would be a Mid-level role in the Big Data Advanced Analytics group of the organization. This role will assist/lead in development of data platforms, business solutions, and proof of concept to assist the big data team in realizing business goals.   location: Chicago, Illinois job type: Permanent salary: $115,000 - 125,000 per year work hours: 8am to 4pm education: Bachelors   responsibilities: Our location in Chicago, IL, currently has an opportunity for a Senior Data Engineer II. This would be a Mid-level role in the Big Data Advanced Analytics group of the organization. This role will assist/lead in development of data platforms, business solutions, and proof of concept to assist the big data team in realizing business goals. WHAT YOU'LL DO Expertise - Collaborate with company employees and partners to develop/enhance big data platform architectures using Databricks/AWS/Azure.Solutions - Advise and guide technical engineers on engagements. This includes participating in on-site visits, understanding customer requirements, creating solution proposals and creating data service offerings. Mentor Jr Data Engineers in their day to day activity. Work closely with SMEs for building data pipeline from structure and unstructured data sources.Work on newest tools and technologies to achieve results - Scala, Spark, Databricks, AWS, Azure.Demonstrate high degree of analytic agility to meet fluid and dynamic business needs.Hands on experience leading large-scale global data warehousing and analytics projects. EDUCATION AND EXPERIENCE YOU'LL BRING REQUIRED BA/BS degree or equivalent experience; Computer Science or Math background preferred 5-10 years' experience covering the entire software lifecycle in a team-oriented environment.Experience in any data analytics solution component from AWS and Microsoft Azure.Experience in any of the listed technologies/languages - Python, Scala, Spark, Hive, HBase, Hadoop, YARN etc.The candidate must possess good oral and written communication skills.History of working successfully with cross-functional engineering team PREFERRED Knowledge on Databricks.Experience with Python, R, Spark, hive, HBase, Hadoop, YARN etc. will be a plus.Demonstrated ability to think strategically about business and technical challenges in an enterprise environment.Ability to prioritize and triage deadline-driven tasks in a high-pressure environment.Ability to communicate complex quantitative analysis in a clear, precise, actionable manner   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors (required)  skills: DatabricksAzureAWSPythonScalaSpark 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. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.