• Intl - LATAM - Lead Data Engineer

    Insight Global (San Francisco, CA)


    Job Description

    Responsibilities

    • Design and optimize data architecture, ETL pipelines, and integration workflows (Databricks experience preferred).

    • Develop scalable solutions for analytics, including PySpark UDFs, ensuring data quality and reliability.

    • Collaborate across teams, deliver insights, and mentor engineers to enforce best practices.

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

    Skills and Requirements

    • Prior lead experience to set up the best practices for a team, lead team meetings, etc.

    • Experience with cloud platforms (AWS, Azure, or GCP) and related big data services.

    • Strong expertise in Spark and Big Data technologies.

    • Advanced SQL skills (including SQLite and SparkSQL).

    • Hands-on experience with Databricks and PySpark.

    • Proficiency in Python for data processing and automation.

    • Solid understanding of ETL design, data integration, and workflow orchestration. · Prior experience with Machine Learning concepts and frameworks

     

    - Prior experience with TensorFlow, PyTorch

     

    - Prior experience with CI/CD pipelines