Role Description This role involves designing and implementing scalable data pipelines to support analytics, data science, and business intelligence initiatives. - We are seeking a Senior Data Engineer with strong foundation in Python, SQL, and Snowflake. - The ideal candidate will have hands-on expertise in BigQuery, Databricks and ability to build robust ETL/ELT workflows using Python and SQL. Key Responsibilities The successful candidate will be responsible for: - Designing and implementing lakehouse solutions leveraging technologies such as Iceberg, Snowflake, and BigQuery. - Ensuring data quality, governance, security, and compliance across pipelines and data stores. - Maintaining high-quality, accessible, and well-structured data for data scientists and analysts. Qualifications To be successful in this role, you will need: - A degree in computer science, engineering, or related field. - At least 5 years of experience in data engineering, with 2+ years working with BigQuery or Snowflake. - Advanced proficiency in Python, SQL, and data modeling techniques. - Experience in data cataloging and inventorying large-scale datasets. What We Offer We provide our employees with opportunities for growth and development through: - Certifications in AWS, Databricks, and Snowflake. - Access to AI learning paths to stay up to date with the latest technologies. - Study plans, courses, and certifications tailored to your role. - Udemy Business access offering thousands of courses to boost your technical and soft skills. - English lessons to support your professional communication.