Data Management Devops

Data Management DevOps Professional

Key Responsibilities

• Data Management Framework & Governance

  : Create and maintain a data management framework that establishes roles and responsibilities for

  data governance and decision-making

  to meet enterprise data objectives and goals.

• Data Ingestion & Validation

  : Responsible for

  loading and validating data

  into the data management framework.

• Data Lineage & Quality

  : Build

  end-to-end lineage

  for all data assets within the data management framework. Investigate

  data quality-related issues

  , identify root causes, and build solution plans.

• Platform Optimization

  : Investigate

  data management platform related issues

  and

  optimize performance

  . Monitor usage of the data management platform to identify potential capacity overloads and bottlenecks.

• Analytical Landscape Understanding

  : Possess the skills necessary to understand the organization's current

  analytical landscape and complex data models

  .

• Database & Scripting

  : Act as a

  database expert

  , able to perform environment assessment and optimize performance to the maximum extent within available resources. Proficient in

  writing shell scripts

  .

• ETL Design & Development

  : Able to design and develop the

  ETL environment, processes, programs, and scripts

  to acquire data from source systems and inject into the analytical landscape.

• Collaboration & Requirements

  : Collaborate with different stakeholders to identify, define, develop, and implement new requirements. Participate in writing and reviewing

  functional specifications and design reviews

  .

• Support & Maintenance

  : Provide support for technical issues and ensure system availability. Support the analysis and documentation of data capture to execute upon reporting requirements to meet business needs.

• Continuous Improvement

  : Remain current on

  data platform technologies, testing industry trends, and best practices

  .

• Project Ownership

  : Take full ownership of projects and be responsible for deliverables, translating business requirements into technical solutions.

Skills

• Strong experience in

  Informatica Suite

  , particularly in

  data management implementation

  .
• Proficiency in

  Informatica Enterprise Data Catalog, Axon Data Governance, and Informatica Data Quality

  .
• Extensive experience in

  software development

  .
• Deep

  database expertise

  and proficiency in

  writing shell scripts

  .
• Ability to create and maintain a

  data management framework

  .
• Strong understanding of

  data governance practices

  , business and technology issues related to enterprise information assets, and approaches to

  data protection

  .
• Knowledge of

  data related government regulatory requirements

  and emerging trends.
• Understanding of overall core concepts for

  analytics and data management

  .
• Skills to investigate and resolve

  data quality

  and

  platform performance issues

  .
• Ability to design and develop

  ETL environments, processes, programs, and scripts

  .
• Strong interpersonal and relationship-building skills, conducive to team development.
• Ability to prioritize tasks and work concurrently on multiple tasks.
• Self-starter with a can-do attitude in a fast-paced environment.

• Good to have

  : Advanced

  statistical and machine learning knowledge

  for data discovery.

Qualifications

• Bachelor's or Master's degree in Computer Engineering, Computer Science, MIS, or Information Management.
• Proven experience in software development.
• Extensive database experience and shell scripting proficiency.
• Demonstrated experience with Informatica Suite in data management implementation.