Verinext

Data Engineer

Verinext

contract

Posted on:

Location Type: Office

Location: Franklin Township • New Jersey • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AzureETLPySparkPythonSQL

About the role

  • Design, develop, and maintain data pipelines using Azure Data Factory, Azure Synapse, and Microsoft Fabric Dataflows.
  • Implement and maintain Medallion architecture in Fabric and Azure environments.
  • Build ingestion and transformation flows that efficiently convert raw Parquet files into Delta tables to support curated, incremental, and governed datasets optimized for Power BI.
  • Implement efficient data lakehouse patterns within Microsoft Fabric.
  • Design and maintain star schemas, dimensional models, and semantic layers for Power BI.
  • Collaborate with Power BI developers to ensure models are performant and aligned to needs.
  • Tune queries, optimize partitioning, and manage performance across Fabric and Synapse environments.
  • Ensure solutions follow Azure best practices for scalability, cost efficiency, and security.
  • Implement data governance, lineage, and cataloging via Microsoft Purview and Fabric capabilities.
  • Partner with IT security and compliance teams to enforce data access controls.
  • Work on site and collaborate closely with cross-functional teams to drive data efficiency and innovation.

Requirements

  • Minimum 5 years of relevant experience.
  • Strong expertise in data languages (Python, SQL, DAX, M, R, etc.) and handling large data sets using PySpark.
  • Strong expertise in Azure Data Factory, Azure Synapse Analytics, Databricks (nice-to-have), and Microsoft Fabric.
  • Hands-on experience implementing Medallion architecture in a lakehouse environment.
  • Expertise in transforming Parquet datasets into Delta tables for reliable, incremental processing.
  • Experience building ETL/ELT pipelines and working with both structured and unstructured data.
  • Familiarity with CI/CD for data pipelines a plus.
  • Experience with Power BI integration and data modeling.
  • Excellent analytical and problem-solving skills.
  • Excellent record keeping and auditing skills.
  • Excellent communication skills, both oral and written.
  • Strong attention to detail and ability to self-check work.
  • Excellent time management skills.
  • Task oriented excellent organizational skills, ability to prioritize workload.
  • Enthusiastic attitude, cooperative team player, adaptable to new or changing circumstances, professional demeanor, sensitive to client needs, self-motivated, creative and innovative.
  • CANDIDATES MUST HAVE A GREEN CARD OR BE A US CITIZEN.
  • PLEASE NO THIRD PARTIES, NO AGENCIES.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLDAXMRPySparkETLELTdata modelingdata governance
Soft skills
analytical skillsproblem-solving skillscommunication skillsattention to detailtime managementorganizational skillsteam playeradaptabilitycreativityself-motivation