Senior Data Engineer

Georgia, VT, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
12 Months
No Travel Required
On-site
$55 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Extract, Transform, Load
  • Data Engineering
  • Data Governance
  • Data Modeling
  • Collaboration
  • Computer Science
  • Continuous Delivery
  • Apache Kafka
  • Artificial Intelligence
  • Cloud Computing
  • Amazon Web Services
  • Apache HTTP Server
  • Data Processing
  • Microsoft SSIS
  • PySpark
  • Python
  • Real-time
  • Insurance
  • Machine Learning (ML)
  • Mentorship
  • Microsoft Azure
  • Informatica
  • Information Security Governance
  • Information Systems
  • Good Clinical Practice
  • Google Cloud Platform
  • Health Care
  • Data Quality
  • Databricks
  • DevOps
  • Finance
  • Git
  • ELT
  • Regulatory Compliance
  • Retail
  • Snow Flake Schema
  • ADF
  • Advanced Analytics
  • Amazon Redshift
  • Analytics
  • Streaming
  • Telecommunications
  • Workflow

Summary

Senior Data Engineer

Location: Georgia, USA 

Experience Required: 12+ Years

< data-start="117" data-end="133">Job Summary

We are seeking a highly experienced Data Engineer with 12+ years of experience in designing, developing, and maintaining enterprise-scale data platforms, ETL/ELT pipelines, and cloud-based data solutions. The ideal candidate will have strong expertise in modern data engineering technologies and large-scale data processing.

< data-start="468" data-end="488">Required Skills
  • 12+ years of experience in Data Engineering and Data Warehousing
  • Strong programming skills in Python, PySpark, and SQL
  • Extensive experience with Databricks and Apache Spark
  • Hands-on experience with Azure Data Factory (ADF), Informatica, SSIS, or similar ETL tools
  • Expertise in Snowflake, Azure Synapse, Redshift, or BigQuery
  • Experience with Azure, AWS, or Google Cloud Platform cloud platforms
  • Strong knowledge of Data Lakes, Delta Lake, and Lakehouse Architecture
  • Experience with Kafka, Event Hubs, or streaming technologies
  • CI/CD, Git, DevOps, and automation experience
  • Strong understanding of Data Modeling, Data Governance, and Data Quality
< data-start="1161" data-end="1182">Responsibilities
  • Design and implement scalable data pipelines and ETL/ELT solutions.
  • Develop and optimize batch and real-time data processing frameworks.
  • Build and maintain cloud-native data platforms and lakehouse solutions.
  • Integrate data from multiple enterprise and third-party sources.
  • Ensure data quality, security, governance, and compliance standards.
  • Collaborate with business stakeholders, architects, and analytics teams.
  • Monitor, troubleshoot, and optimize data workflows and performance.
  • Mentor team members and contribute to architecture and best practices.
< data-start="1755" data-end="1784">Preferred Qualifications
  • Experience with Delta Lake and Medallion Architecture.
  • Exposure to AI/ML data pipelines and advanced analytics environments.
  • Azure, AWS, Databricks, or Snowflake certifications preferred.
  • Experience in Finance, Healthcare, Retail, Telecom, or Insurance domains.
< data-start="2056" data-end="2070">Education
  • Bachelor''s or Master''s degree in Computer Science, Information Systems, Engineering, or related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10477291
  • Position Id: 9005969
  • Posted 9 hours ago
Contact the job poster
RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC
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