Raas Infotek LLC
Raas Infotek LLC

Senior Data Engineer

San Francisco, CA, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
12 Months
No Travel Required
On-site
$65 - $70/hr
Fitment

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Job Details

Skills

  • Information Security Governance
  • DevOps
  • ELT
  • Extract, Transform, Load
  • Data Quality
  • Data Validation
  • Data Warehouse
  • Data Integration
  • Data Modeling
  • Data Processing
  • Continuous Integration
  • Data Engineering
  • Data Governance
  • Communication
  • Conflict Resolution
  • Continuous Delivery
  • Apache Spark
  • Big Data
  • Performance Tuning
  • Management
  • Mentorship
  • Microsoft Azure
  • Good Clinical Practice
  • Google Cloud Platform
  • Informatica
  • Cloud Computing
  • Collaboration
  • Databricks
  • Orchestration
  • Amazon Redshift
  • Talend
  • Workflow
  • PySpark
  • Amazon Web Services
  • Apache Kafka
  • Git
  • Problem Solving
  • Python
  • Real-time
  • Snow Flake Schema
  • SQL

Summary

Experience: 10+ Years
Job Type: Contract W2

Job Summary

We are seeking an experienced Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in ETL/ELT development, cloud technologies, data warehousing, and big data processing.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.

  • Build and optimize data integration and transformation workflows.

  • Work with large datasets using SQL, Python, and PySpark.

  • Develop and manage data solutions using AWS, Azure, or Google Cloud Platform.

  • Implement data warehouses, data lakes, and lakehouse architectures.

  • Perform data modeling, data validation, and performance tuning.

  • Collaborate with data analysts, architects, and business stakeholders.

  • Ensure data quality, security, governance, and pipeline reliability.

Required Skills

  • 10+ years of experience in Data Engineering.

  • Strong expertise in SQL, Python, and PySpark.

  • Hands-on experience with ETL tools such as Informatica, Talend, or AWS Glue.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Strong knowledge of Snowflake, Databricks, BigQuery, or Redshift.

  • Experience with Apache Spark, Kafka, and distributed data processing.

  • Good understanding of data warehousing and data modeling concepts.

  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Experience with CI/CD, Git, and DevOps practices.

  • Knowledge of Airflow, Azure Data Factory, or similar orchestration tools.

  • Experience with real-time data processing and data governance.

  • Ability to lead technical discussions and mentor junior developers.

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: 9128548
  • Posted 2 hours ago
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RC

Rahul Chourasia

Recruiter @ Raas Infotek LLC

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