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Raas Infotek Linkedin · Posted 2mo ago

Senior Data Engineer

Dallas, Texas, United States

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Indexed description

Job Title: Senior Data Engineer

Job Summary

We are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have deep expertise in data engineering, strong problem-solving skills, and experience working with large-scale distributed systems. You will play a key role in enabling data-driven decision-making across the organization.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines
  • Build and optimize data architectures, data lakes, and data warehouses
  • Ensure data quality, integrity, and reliability across systems
  • Work with cross-functional teams including Data Scientists, Analysts, and Product teams
  • Optimize performance of large-scale data processing systems
  • Implement real-time and batch data processing solutions
  • Develop and enforce data governance and security policies
  • Mentor junior and mid-level data engineers
  • Stay updated with latest data engineering tools and technologies

Required Skills & Qualifications

  • 12+ years of experience in Data Engineering / Big Data
  • Strong expertise in SQL and Python/Scala/Java
  • Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive)
  • Experience with ETL tools and data pipeline frameworks
  • Strong knowledge of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
  • Experience with cloud platforms (AWS / Azure / Google Cloud Platform)
  • Proficiency in data modeling techniques
  • Experience with workflow orchestration tools (Airflow, Luigi, etc.)
  • Understanding of streaming technologies (Kafka, Flink, etc.)
  • Strong problem-solving and analytical skills

Preferred Qualifications

  • Experience with DevOps practices and CI/CD pipelines
  • Knowledge of containerization (Docker, Kubernetes)
  • Experience in real-time analytics and data streaming
  • Exposure to machine learning data pipelines
  • Certification in cloud platforms (AWS/Azure/Google Cloud Platform)

Soft Skills

  • Strong communication and leadership skills
  • Ability to work in a fast-paced, collaborative environment
  • Strategic thinking and decision-making ability
  • Mentoring and team leadership experience
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