Lead Data Engineer

Precision Technologies United State
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AI Summary

We are seeking a Lead Data Engineer to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will have strong expertise in cloud technologies, big data frameworks, and modern data engineering practices. The role requires 10-15 years of experience in Data Engineering and strong leadership skills.

Key Highlights
Lead Data Engineer with 10-15 years of experience
Strong expertise in cloud technologies and big data frameworks
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
Build and optimize cloud-based data platforms and data warehouse solutions
Develop data ingestion, transformation, and processing frameworks
Collaborate with architects, analysts, and business stakeholders to deliver data solutions
Ensure data quality, reliability, security, and performance across data platforms
Perform code reviews and establish data engineering best practices
Mentor team members and provide technical leadership throughout project delivery
Technical Skills Required
Python SQL Cloud technologies

Job Description


Lead Data Engineer | 10–15 Years | Relocation Anywhere in USA

We are seeking a Lead Data Engineer with 10–15 years of experience in designing, building, and optimizing scalable data platforms and pipelines. The ideal candidate will have strong expertise in cloud technologies, big data frameworks, ETL/ELT processes, and modern data engineering practices.

Required Skills:

10–15 years of hands-on experience in Data Engineering

Strong expertise in Python, SQL, Spark/PySpark, and ETL/ELT development

Experience with AWS, Azure, or GCP cloud platforms

Hands-on experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery

Strong knowledge of data warehousing, data lakes, and modern data architectures

Experience with Kafka, Airflow, Azure Data Factory, or similar data integration tools

Proficiency in relational and NoSQL databases

Experience with Docker, Kubernetes, Git, and CI/CD pipelines

Strong understanding of data modeling, data governance, and performance optimization

Experience leading engineering teams and mentoring developers

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Build and optimize cloud-based data platforms and data warehouse solutions.
  • Develop data ingestion, transformation, and processing frameworks.
  • Collaborate with architects, analysts, and business stakeholders to deliver data solutions.
  • Ensure data quality, reliability, security, and performance across data platforms.
  • Perform code reviews and establish data engineering best practices.
  • Mentor team members and provide technical leadership throughout project delivery.

Location:

Candidates must be willing to relocate anywhere within the USA.

Employment Type:

Full-Time

Work Authorization:

H4 EAD, L2S, GC, GC EAD, USC.

Interested candidates can apply with their updated resume.



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