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TriluxTech Linkedin · Posted 8d ago

Data Engineer

Austin, Texas, United States

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Indexed description

Title - Data Engineer

Location: Austin, TX , Onsite

Experience: 4–5 Years


Job Summary

We are looking for a skilled Data Engineer with 4–5 years of experience to join our team. The ideal candidate will have strong expertise in Python, SQL, and modern data engineering technologies, with hands-on experience in building and maintaining scalable data pipelines. Experience with ClickHouse, Vertica, Apache Airflow, and AI-powered coding tools is essential.


Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
  • Develop high-quality, efficient, and maintainable code using Python.
  • Write complex SQL queries for data extraction, transformation, validation, and performance optimization.
  • Work with ClickHouse and Vertica databases to manage and optimize large-scale datasets.
  • Build, schedule, and monitor workflows using Apache Airflow.
  • Ensure data quality, integrity, and reliability across data platforms.
  • Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
  • Troubleshoot and resolve data pipeline, database, and workflow issues.
  • Leverage AI-assisted coding tools (such as GitHub Copilot, Cursor, or ChatGPT) to improve development productivity and code quality.
  • Follow software engineering best practices, including version control, testing, and documentation.

Required Skills

  • 3–5 years of experience in Data Engineering.
  • Strong programming skills in Python.
  • Strong proficiency in SQL, including query optimization and performance tuning.
  • Hands-on experience with ClickHouse.
  • Experience working with Vertica.
  • Strong knowledge of Apache Airflow for workflow orchestration.
  • Experience building and supporting ETL/ELT pipelines.
  • Familiarity with Git and version control systems.
  • Experience using AI-powered development tools for coding and productivity.

Preferred Qualifications

  • Experience working with large-scale data platforms.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of data warehousing concepts and data modeling.
  • Strong analytical, problem-solving, and communication skills.

Nice to Have

  • Experience with distributed data processing frameworks.
  • Exposure to CI/CD pipelines and DevOps practices.
  • Experience in Agile/Scrum development environments.



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