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Senior Data Engineer

Parkar Consulting Group, LLCNew York, NY🇺🇸United StatesPosted 13 Aug 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role at Parkar Consulting Group offers significant growth potential by allowing you to leverage your Databricks and cloud migration expertise on impactful projects. You'll thrive here if you possess strong Python, PySpark, and SQL skills and are eager to contribute to a leading consulting firm. Apply now to advance your career in a dynamic environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Position: Senior Data Engineer Location: New York City, NY
Duration: Full Time

Qualifications & Requirements

  • Minimum 5 to 7 years of data engineering experience, with at least 3+ years of hands-on Databricks experience in production environments.
  • Migration Expertise
    Proven experience in migrating on-premises data systems to cloud platforms.
  • Technical Skills
    Strong proficiency in Python, PySpark, and SQL. Experience in converting legacy SQL dialects to Spark SQL is a plus.
  • Cloud Knowledge
    Familiarity with cloud computing concepts, preferably within Azure ecosystems. Experience integrating cloud functions or runtime services with data platforms is desirable.
  • Best Practices & Tools
    Solid understanding of CI/CD, data quality frameworks, and orchestration tools such as Databricks Workflows, Airflow, or dbt.

Preferred Skills

  • Experience with large-scale data modernization programs
  • Exposure to financial services or regulated data environments
  • Strong problem-solving and stakeholder communication skills
  • Investment banking background would be added advantage.

Skills

SQL
Airflow
Azure
Databricks
Python
dbt

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