WO-001 Data Integration Specialist

ENDURION LLC
Doral, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Doral, United States of America

Tech stack

Artificial Intelligence
Batch Processing
Data Governance
Data Integration
ETL
Data Transformation
Data Warehousing
Information Management
Interoperability
Metadata
SQL Databases
Unstructured Data
Data Ingestion
Azure
Apache Nifi
Data Management
Api Design
Data Pipelines
Databricks

Job description

The Data Integration Specialist supports mission-critical objectives under the referenced work order by managing data ingestion, transformation, and interoperability across cloud-based and on-premises environments. This role develops ETL pipelines, ensures data quality and consistency, and coordinates with AI/ML engineers to meet analytical requirements., * The Data Integration Specialist is responsible for developing and maintaining scalable data pipelines that enable real-time and batch processing of structured and unstructured data.

  • The position requires implementing Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
  • Specialists will manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
  • The role includes coordinating with AI/ML engineers to ensure data transformations meet model training and analytical requirements.

Requirements

The contractor shall provide personnel who meet one of the following requirements:

  • Bachelor's degree in Data Science, Information Management, or a related field; or
  • A minimum of five (5) years of professional experience in data integration.

Candidates must have demonstrated experience in the following areas:

  • Developing and managing ETL workflows.
  • Integrating data from multiple sources.
  • Ensuring data quality and consistency.
  • Working with tools such as Apache NiFi, Databricks, and SQL-based data warehouses.
  • Managing schema alignment and metadata tagging.

Required Skills and Competencies

  • Expertise in data integration tools, API development, and ETL pipelines.
  • Working knowledge of schema management and data governance.
  • Proficiency in Apache NiFi, Databricks, and SQL-based data warehouses.
  • Strong understanding of data quality and interoperability requirements.
  • Ability to coordinate with AI/ML teams on data transformation requirements., * Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
  • Certified Data Management Professional (CDMP) (Preferred, Not Required)
  • Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required)

Clearance Requirement

  • An active TS/SCI security clearance is required for on-site duty location.

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