Overview
On Site
$51 - $56
Contract - W2
Contract - 1 month(s)
No Travel Required
Skills
Data Warehousing
LINUX
Bash
Korn Shell
ETL Concepts
Job Details
Job Description:
Pay Range: $51hr - $56hr
Responsibilities:
Environment Candidateagement:
Ab Initio Expertise:
Pay Range: $51hr - $56hr
Responsibilities:
Environment Candidateagement:
- Installing, configuring, and maintaining Ab Initio software and related components (Co - Operating System, EME, Control Center, etc.).
- Monitoring ETL job performance, troubleshooting issues, and optimizing workflows to ensure efficient data processing.
- Candidateaging user access, implementing security protocols, and maintaining user accounts within the Ab Initio environment.
- Scheduling and automating ETL jobs using tools like Control Center or Autosys, and potentially developing automation scripts using languages like Python or Candidatell.
- Resolving issues related to ETL jobs, Ab Initio components, and data processing workflows.
- Working with developers, data engineers, and other stakeholders to implement changes, upgrades, and resolve issues.
- Documentation:
- Creating and maintaining technical documentation related to Ab Initio solutions and configurations.
Ab Initio Expertise:
- Strong knowledge and hands-on experience with Ab Initio products (Co?Operating System, EME, Control Center, etc.).
- Operating System Knowledge:
- Familiarity with Linux/Unix operating systems, including shell scripting (Bash, Korn shell).
- Understanding of ETL concepts, data warehousing principles, and experience with data profiling, cleansing, and transformation.
- Familiarity with databases (Oracle, Teradata, etc.) and SQL.
- Experience with scripting languages (Python, Candidatell, etc.) for automation tasks.
- Communication and Collaboration:
- Excellent communication and interpersonal skills to collaborate with cross-functional teams.
- Strong analytical and problem-solving skills to troubleshoot and resolve complex issues.
- Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and containerization technologies like Docker and Kubernetes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.