$50 - $52 Hour
Monday to Friday
Day shift
10 hour shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
job summary:
Responsibilities
Reconciles data between AWS and Mainframes, makes performance improvements for data processing, identifies current data issues, vulnerabilities and implements effective solutions during transformation.
Collaborates with the testers to develop and execute manual test cases and exploratory tests following the Test Case standards.
Supports transformation efforts in data discovery and data setup.
Collaborates closely with technical leads, developers and testers to analyze, document and support the transformation of data from mainframe to cloud.
Understands the current functionality, assists and validates data transformation to cloud.
Collaborates on the project's code and data conversion Strategy during the planning phase and ensures implementation of this plan to ensure an accurate and effective product.
Qualifications
At least 5 years or more of experience as a Data Engineer. strong working knowledge in AWS - Attunity, Cloud Formation Tool, Python (ETL), RDS, SQL, Java, Mainframe and DB2/VSAM.
Nice to have - IBM LUW, Github, Segregation/Partitioning.
responsibilities:
Responsibilities
Reconciles data between AWS and Mainframes, makes performance improvements for data processing, identifies current data issues, vulnerabilities and implements effective solutions during transformation.
Collaborates with the testers to develop and execute manual test cases and exploratory tests following the Test Case standards.
Supports transformation efforts in data discovery and data setup.
Collaborates closely with technical leads, developers and testers to analyze, document and support the transformation of data from mainframe to cloud.
Understands the current functionality, assists and validates data transformation to cloud.
Collaborates on the project's code and data conversion Strategy during the planning phase and ensures implementation of this plan to ensure an accurate and effective product.
Qualifications
At least 5 years or more of experience as a Data Engineer. strong working knowledge in AWS - Attunity, Cloud Formation Tool, Python (ETL), RDS, SQL, Java, Mainframe and DB2/VSAM.
Nice to have - IBM LUW, Github, Segregation/Partitioning.
qualifications:
Experience level: Experienced
Minimum 4 years of experience
Education: No Degree Required
skills:
AWS Cloud Formation
Python
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.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one,
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.
Computer
technology
AWS Cloud Formation
Python
5 years
Technology
On going position
Hybrid Remote