Senior Ab Initio Systems Administrator

2 weeks ago


Reston, Virginia, United States nTech Workforce Full time

Employment Terms

  • Contract-to-Hire, 6 Months
  • This position is considered hybrid. Candidates must be flexible and willing to come onsite as needed.
  • Advanced notice will be provided for any required onsite presence.
  • Candidates based in the surrounding regions are preferred.

Position Overview

nTech Workforce is in search of a skilled Senior Ab Initio Systems Administrator to enhance our innovative IT department. This role entails managing the administration of the Ab Initio ETL tool within cloud environments, facilitating the execution of data integration and data warehousing solutions for both on-premises and cloud-based data products. As the Principal ETL Operations Manager, you will be expected to possess comprehensive knowledge of the end-to-end processes and serve as a Subject Matter Expert (SME), offering valuable insights and feedback across all relevant areas. You will represent the team in architectural and design discussions.

Although this role does not involve direct reports, the selected candidate will be responsible for mentoring less experienced team members and may oversee a team of matrixed resources. This is a hands-on position focused on administration rather than development.

Essential Skills & Experience

  • Over 10 years of experience in the administration of ETL tools, specifically Ab Initio.
  • More than 10 years of experience with the Ab Initio Graphical Development Environment (GDE), Metadata Hub, and Operational Console.
  • Proficient in the following areas:
  • Administration and engineering of relational databases (e.g., MySQL, PostgreSQL, MongoDB, RDS, DB2).
  • Experience with Big Data systems, including Cloudera Data Platform in both Private and Public Cloud.
  • Familiarity with automation tools such as Ansible, Terraform, and Bitbucket.
  • Expertise in cloud solutions, particularly data products on AWS.
  • Ability to create Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage solutions like EBS or S3.
  • Experience in troubleshooting issues related to Hive, ICFF, and HDFS.
  • Management of metadata hub-MDH, Operational Console, and resolving environmental issues affecting these components.
  • Skills in scripting and automation, including the design and development of automated ETL processes and unit testing of ETL code.
  • Proficient in AWS services (EC2, S3, RDS, VPC, IAM, etc.).
  • Experience with CI/CD tools (Jenkins, GitLab CI, etc.).
  • Advanced knowledge of UNIX, Linux, Shell scripting, and SQL.
  • Strong expertise in DB2.
  • Familiarity with scripting languages (Python, Shell, etc.).
  • Extensive knowledge of Cloudera (Hadoop, HDFS, YARN, Hive, Spark) administration and management.
  • Ability to troubleshoot potential issues with Kerberos, TLS/SSL, Models, and Experiments, as well as other workload issues that data scientists may encounter during application operation.
  • Capability to lead and guide a junior team of 4 or 5 members.

Preferred Skills & Experience

  • Understanding of containerization technologies (Docker, Kubernetes).


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