Azumo seeks a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is fully remote, based in Latin America.
This role allows you to collaborate with a growing team of experienced engineers in big data computing. You will enjoy this role if you love designing and developing scalable, high-performance big data infrastructure using Spark, Kafka, Snowflake or similar frameworks, both on-premise and in the cloud.
At Azumo, we strive for excellence and believe in professional and personal growth. We want each individual to be successful and pledge to help achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is core to our values. We believe in giving back to our community through philanthropy, open-source initiatives, and knowledge sharing.
Azumo is an innovative software development firm based in San Francisco, California, helping organizations make informed decisions using the latest technologies in data, cloud, and mobility. We combine expertise in strategy, data science, application development, and design to drive digital transformation initiatives for companies of all sizes.
Key Responsibilities
* Design and develop scalable, high-performance big data infrastructure using Spark, Kafka, Snowflake or similar frameworks, both on-premise and in the cloud.
* Build data pipelines, data services, data warehouses, BI and ML platforms.
Requirements
* BS or Master's degree in Computer Science, related degree, or equivalent experience.
* 5+ years of experience with data-related and data management responsibilities.
* Deep expertise in designing and building data warehouses and big data analytics systems.
* Practical experience manipulating, analyzing and visualizing data.
* Self-driven and motivated, with a strong work ethic and a passion for problem-solving.
Preferred Qualifications
* Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole.
* Prior experience with notebooks using Jupyter, Google Collab, or similar.
Benefits
* Paid time off (PTO).
* U.S. Holidays.
* Training.
* Udemy free Premium access.
* Mentored career development.
* Free English Courses.
* Profit Sharing.
* $US Remuneration.
Seniority Level
Mid-Senior level
Employment Type
Full-time
Job Function
Information Technology
Industries
IT Services and IT Consulting