Data Engineer

Marathon TS

$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in IT or related field (9+ years experience) or Master's degree (7+ years experience) with a focus in Computer Science, Mathematics, or Statistics.
  • 3-5 years of subject matter expert experience in transforming and delivering structured data to a data warehouse.
  • Proven experience in data engineering and large-scale data processing for structured and unstructured data integration.
  • Strong analytical skills with the ability to devise creative solutions in a dynamic setting.
  • Experience with data integration technologies such as Radiant Logic and SailPoint.

Responsibilities

  • Provide senior-level engineering services for enterprise-level ICAM solutions.
  • Architect, engineer, and lead data integration efforts to deploy a comprehensive identity management platform.
  • Evaluate project requirements for compatibility and scope while establishing detailed specifications with clients.
  • Prepare UML diagrams and Software Design Documents to guide programming efforts.
  • Develop REST APIs using Java and utilize XML-based libraries for system integration.
  • Test datasets to ensure program outputs meet intended benchmarks.
  • Collaborate with customers to determine functional needs and assist in developing enterprise policies.

Benefits

  • Opportunities for professional development and continuing education.
  • Exposure to innovative data integration technologies and tools.
  • Collaborative work environment with direct client interaction.
  • Ability to impact large-scale identity management solutions for 100K+ users.
  • Involvement in evolving enterprise policies and directives.
Full Job Description
The ideal candidate will provide Data integration and senior level engineering and design services related to data integration in support of an enterprise-level ICAM solutions using Radiant Logic, SailPoint and other appropriate platform, tools, and technologies. The selected candidate will have daily interactions with government clients related to meeting technical requirements, and implementation efforts. Domain knowledge and technical decision-making will have a critical impact on overall project implementation and execution.
  • This position requires an innovative engineer who is passionate about data & data quality
  • The ideal candidate will possess data warehousing experience and the ability to develop scalable data pipelines that make data ingestion into an enterprise Identity management solution faster, and more efficient
  • Capacity to understand specific needs or requirements to apply skills/knowledge
  • Architect, engineer, and lead data integration efforts to deploy a single ICAM solution/Identity management platform (SailPoint & Radiant Logic) to manage identities for 100K+ users spanning numerous identity sources and platforms.
  • Evaluate project requirements in terms of compatibility, scope, integration, design, and analysis.
  • Establishing a detailed program specification through discussion with clients.
  • Prepare Unified Modeling Language (UML) diagrams to show programmers the software code needed for the application.
  • Design and prepare Software Design Document (SDD) and the overview of system architecture.
  • Formulate business logic to meet client requirements and create new algorithms to meet customization in operations and policies.
  • Develop REST API using Java to integrate and configure connector development framework.
  • Use XML based connector library to integrate with the technical development project.
  • Testing sample datasets to check that output from the program works as intended.
  • Work with customers to determine their functional needs.
  • Assist in the development of Enterprise policies and directives.
  • Participate in functional or user acceptance testing to ensure final product meets intent of customer's needs.
  • Review and document functionality of existing legacy applications.
  • Create technical specifications and white papers as required.
Required Qualifications
  • Bachelors degree in IT or related field and nine (9) years or more experience; Masters degree in IT or related field with seven (7) years or more experience; Prefer academic backgrounds in Computer Science, Mathematics, Statistics, or related technical field
  • 3-5 years of SME experience in projects requiring the transforming, integrating, and delivering of structured data to a scalable data warehouse platform.
  • Must have experience in data engineering, developing and maintaining large-scale data processing systems for preparing structured and unstructured data integration and analytical modeling
  • Candidate must be analytically strong, and able to develop creative solutions in a rapidly changing environment.


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