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Lead Data Engineer

Full-time

Acunor Inc

Location: NY / NJ / Pittsburgh Onsite

Employment Type: Full-Time

Experience: 8+ Years

Job Summary

We are looking for a hands-on Technology Engineering Lead to design and deliver enterprise-scale data engineering solutions, including a batch feature store supporting analytics and AI use cases.

This is a technical leadership + individual contributor role . The ideal candidate must be comfortable working directly with clients while remaining deeply hands-on with PySpark, SQL, database architecture, and ETL/ELT pipeline development .

Key Responsibilities
  • Lead architecture and development of enterprise-scale data pipelines.

  • Design and build scalable PySpark and Impala SQL solutions.

  • Develop ETL/ELT pipelines across Hive and Oracle data platforms.

  • Own data architecture, feature logic, data quality, and reconciliation.

  • Drive pipeline performance tuning, monitoring, and failure recovery.

  • Manage batch scheduling and dependencies using CA7 or equivalent .

  • Conduct design reviews, code reviews, and hands-on troubleshooting.

  • Establish Git/Bitbucket, CI/CD, and testing practices.

  • Lead production releases and SDLC/change-management activities.

  • Work directly with business, analytics, and technology stakeholders.

  • Mentor engineers while remaining actively involved in technical delivery.

Required Qualifications
  • 8+ years of Data Engineering / Data Platform experience.

  • 5+ years of hands-on PySpark and enterprise ETL/ELT development .

  • Advanced SQL and strong pipeline performance-tuning skills.

  • Strong database/data-platform architecture experience.

  • Hands-on experience with Hive and Oracle .

  • Technical leadership experience across complex data-engineering programs.

  • Experience with Linux, Git/Bitbucket, and CI/CD.

  • Strong client-facing communication skills.

  • Ability to work effectively in a fast-paced environment.

Preferred Skills
  • Banking / Financial Services experience.

  • CA7 or equivalent batch scheduling tools.

  • Jira and Agile/Scrum experience.

  • Experience with AI-assisted development tools.

Primary Skills

PySpark, SQL, ETL/ELT, Data Engineering, Data Architecture, Hive, Oracle, Impala SQL, Database Architecture, Data Pipelines, Performance Tuning, CI/CD, Git/Bitbucket, Linux, CA7

Vacancy posted 1 day ago
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