Senior/Lead Data Engineer

Precision Technologies • United State
Relocation
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AI Summary

Join our client projects across diverse domains - finance, healthcare, retail, and cloud-based ecosystems. Design, build, and optimize large-scale data processing systems. Collaborate with data scientists, analysts, and DevOps teams to ensure seamless integrations.

Key Highlights
Design and build scalable data pipelines and ETL processes
Develop and deploy data ingestion frameworks
Optimize performance of large-scale data lakes and warehouses
Key Responsibilities
Architect, build, and maintain scalable data pipelines and ETL processes
Develop and deploy data ingestion frameworks for structured and unstructured data sources
Optimize performance of large-scale data lakes and warehouses
Technical Skills Required
8+ years of hands-on experience in data engineering Strong expertise in at least one cloud platform - AWS, Azure, or GCP Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python
Nice to Have
Experience in data modernization or migration projects
Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes)

Job Description


💼 Senior / Lead Data Engineer

Location: Multiple Client Locations across the USA (Open to Relocation)

Experience: 8+ Years

Employment Type: Full-time.


About the Role

We’re looking for an experienced Senior or Lead Data Engineer to join our client projects across diverse domains - finance, healthcare, retail, and cloud-based ecosystems. This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms.

Key Responsibilities:

  • Architect, build, and maintain scalable data pipelines and ETL processes using modern tools and cloud technologies
  • Develop and deploy data ingestion frameworks for structured and unstructured data sources.
  • Work closely with data scientists, analysts, and DevOps teams to design efficient data models and ensure seamless integrations.
  • Optimize performance of large-scale data lakes and warehouses.
  • Implement data governance, lineage, and quality frameworks.
  • Lead and mentor junior data engineers and ensure best practices in data engineering.

Required Skills:

  • 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation.
  • Strong expertise in at least one cloud platform - AWS, Azure, or GCP.
  • Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python.
  • Experience with data warehousing (Redshift, BigQuery, Synapse, etc.) and streaming technologies.
  • Solid understanding of data modeling, orchestration, and performance tuning.
  • Excellent communication skills and ability to work in collaborative, cross-functional teams.

Nice to Have:

  • Experience in data modernization or migration projects.
  • Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).


📩 Interested candidates can apply directly or share resumes at

raviteja.d@precisiontechcorp.com

Let’s build the future of data together!


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