Raas Infotek LLC
Raas Infotek LLC

Senior Data Engineer

Plano, TX, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ELT
  • Data Validation
  • Data Warehouse
  • Databricks
  • DevOps
  • Docker
  • Extract, Transform, Load
  • Data Engineering
  • Data Modeling
  • Data Processing
  • Data Quality
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Google Cloud Platform
  • Data Cleansing
  • Database
  • Performance Tuning
  • Microsoft Power BI
  • Good Clinical Practice
  • Cloud Computing
  • Apache Kafka
  • Amazon Web Services

Summary

Location: Texas, USA
Experience: 11+ Years
Job Type: W2
Relocation: Candidates willing to relocate are welcome.

Job Summary

We are looking for an experienced Senior Data Engineer with strong hands-on experience in data engineering, ETL pipelines, cloud platforms, and big data technologies. The candidate will be responsible for building scalable data solutions, integrating data from multiple sources, and ensuring data quality and reliability.

Required Technologies

  • Programming: Python, SQL, PySpark.

  • Data Engineering: ETL/ELT, data pipelines, data modeling, data warehousing.

  • Big Data: Apache Spark, Hadoop, Hive, Kafka.

  • Cloud Platforms: AWS, Azure, or Google Cloud Platform.

  • Data Platforms: Snowflake, Databricks, Amazon Redshift, or Google BigQuery.

  • ETL Tools: AWS Glue, Azure Data Factory, Informatica, or similar tools.

  • Databases: SQL Server, Oracle, PostgreSQL, or MySQL.

  • Workflow Orchestration: Apache Airflow or similar tools.

  • DevOps: Git, CI/CD, Docker, and Kubernetes.

  • Data Quality: Data validation, data cleansing, monitoring, and performance optimization.

  • Reporting: Power BI or Tableau is a plus.

Responsibilities

  • Design, develop, and maintain scalable data pipelines.

  • Build and optimize ETL/ELT processes using Python, SQL, and PySpark.

  • Integrate data from databases, APIs, and other sources.

  • Develop and maintain data warehouses and data models.

  • Monitor data quality and troubleshoot pipeline issues.

  • Optimize data processing performance and reliability.

  • Collaborate with data analysts, data scientists, and business teams.

Preferred Domain Experience

Experience in one or more of the following domains is preferred:

  • Banking and Financial Services

  • Healthcare

  • Insurance

  • Retail and E-commerce

  • Telecommunications

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: 9126310
  • Posted 5 hours ago
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