Job Description :
Senior Data Developer
Las Vegas, NV
Long term

Responsibilities:

Consume business requirements and creates technical design and supporting documentation for data integration development, including ETL/ELT, web services, Real-time messaging, and scripting, etc
Lead and develop data integration components including extraction jobs, transformations, and load programs.
Participate in code reviews to ensure code is free of common development vulnerabilities.
Validates data integration by developing and executing test plans and scenarios including data design, tool design, data extract/transform, networks, and hardware.
Enhances data integration by planning delivery of solutions; answering technical and procedural questions; teaching improved processes; and mentoring engineers when necessary
Create technical design documentation in adherence to business, source system, target system, and solution architecture requirements.
Collaborate with Information Management team members to ensure data integration design and implementation is in accordance with other design components and meets end-state requirements.
Ensure effective internal controls by monitoring data integration solution performance.
Actively resolve code defects discovered in testing.
Collaborate with the Information Management organization to assess/communicate data changes and the resulting technology impacts.
Review and decide on recommendations from engineers.
Participate in the selection of tools and vendors.
Understand the upstream and downstream data impacts and applies business rules used to govern data transformations.
Exhibit work consistent with the software development lifecycle.
Identify and supports execution of process improvement opportunities.
Perform other job related duties as requested

Required
Bachelor’s Degree in Computer Science, Computer Engineering, or a related field, or equivalent education and experience.
At least 5 years of experience with data integration component design and implementation in the Information Management discipline, to include at least 2 years of experience with data integration and engineering with tools like SQL, Python, Hadoop Stacks.
Excellent customer service skills.
Have interpersonal skills to deal effectively with all business contacts.
Professional appearance and demeanor.
Work varied shifts, including weekends and holidays.
High school diploma or equivalent.
Able to effectively communicate in English, in both written and oral forms.
             

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