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Lead Ab Initio Administrator

3 months ago

Reston, United States nTech Workforce Full time

Terms of Employment

  • 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 Maryland, Washington, DC, Virginia, West Virginia, Pennsylvania, Delaware, New Jersey, New York, North Carolina, Florida, or Texas are preferred.
  • The office is located in Reston, VA.

Overview

Our client is seeking an experienced Lead Ab Initio Administrator to join their dynamic IT team. This role involves overseeing the administration of the Ab Initio ETL tool in cloud environments, supporting the implementation of data integration and data warehouse solutions for both on-premises and AWS-based data products. As the Lead Ad Initio Administrator, you must be knowledgeable in the end-to-end process and be able to act as a Subject Matter Expert (SME), providing credible feedback and input in all impacted areas. You will represent the team in all architectural and design discussions.


While this position does not include direct reports, the candidate will be expected to provide guidance and mentorship to less experienced team members and may lead a team of matrixed resources. This is a hands-on role focused on administration, not development.

Required Skills & Experience

  • 10+ years of experience with all tasks involved in administration of ETL Tool (Ab Initio).
  • 10+ years of experience with Ab Initio Graphical Development Environment (GDE), Meta Data Hub, Operational Console.
  • Experience in the following areas:
  • Administrating and engineering relational databases (ex. MySQL, PostgreSQL, Mongo DB, RDS, DB2).
  • Big Data systems, Cloudera Data Platform Private Cloud and Public Cloud.
  • Automation tools including Ansible, Terraform and Bit Bucket.
  • Cloud solutions, specifically data products on AWS.
  • Creating Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
  • Working and troubleshooting issues related to Hive, ICFF, HDFS.
  • Managing metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these components.
  • Scripting and automation such as design and develop automated ETL process and architecture and unit testing of the ETL code.
  • AWS services expertise (EC2, S3, RDS, VPC, IAM, etc.).
  • CI/CD tools (Jenkins, GitLab CI, etc.).
  • Advanced knowledge of UNIX, Linux, Shell scripting and SQL.
  • Strongly demonstrated knowledge of DB2.
  • Familiarity with scripting languages (Python, Shell, etc.).
  • Strong 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 might encounter once the application is running.
  • Ability to lead and guide a junior team of 4 or 5.

Preferred Skills & Experience

  • Understanding of containerization technologies (Docker, Kubernetes).