Senior/Lead Data Engineer

Precision Technologies โ€ข United State
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AI Summary

Design, build, and maintain large-scale data processing systems, ensuring data availability and integrity across platforms. Collaborate with cross-functional teams to optimize data models and integrations. Lead and mentor junior data engineers.

Key Highlights
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
Implement data governance, lineage, and quality frameworks
Lead and mentor junior data engineers
Technical Skills Required
AWS Azure GCP Spark PySpark Databricks Kafka Snowflake Airflow SQL Python Redshift BigQuery Synapse
Benefits & Perks
Multiple client locations across the USA
Open to relocation
All visa types accepted (H1B, H4 EAD, GC, USC, TN, L2, etc.)

Job Description


๐Ÿ’ผ Senior / Lead Data Engineer

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

Experience: 8+ Years

Employment Type: Full-time (All Visa Types Accepted โ€“ H1B, H4 EAD, GC, USC, TN, L2, etc.)


About the Role

Weโ€™re looking for an experienced Senior or Lead Data Engineer to join our client projects across diverse domains โ€” 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 โ€“ 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).


๐Ÿ“ฉ Interested candidates can apply directly or share resumes at raviteja.d@precisiontechcorp.com

Letโ€™s build the future of data together!


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