Data Engineer – Databricks, AWS

🕒 May 13

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Azumo

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

Software Development • Artificial Intelligence • Data Engineering

Azumo is a leading software development company that specializes in nearshore services. The company offers a range of solutions, including software development, dedicated teams, staff augmentation, and virtual CTO services. Azumo is particularly known for its expertise in artificial intelligence, mobile app development, data engineering, and cloud services. The company prides itself on delivering high-quality, scalable, and innovative software solutions tailored to the specific needs of various industries, including fintech, game development, healthcare, and media. With a focus on assembling talented developers from Latin America, Azumo ensures time zone alignment and seamless communication with clients in North America. Their commitment to quality and client satisfaction is evidenced by numerous awards and positive client testimonials from prestigious organizations like Facebook, Twitter, and Discovery Channel.

📋 Description

• **Responsibilities:** • Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS • - Improve ingestion pipeline quality, reliability, scalability, and governance • - Develop and optimize core data models and foundational data tables • - Build analytics-ready datasets to support player insights, publishing analytics, esports analytics, and operational reporting • - Implement data governance, data quality, lineage, and observability practices • - Collaborate with product, analytics, engineering, and business stakeholders to support data-driven decision-making • - Optimize large-scale data processing workflows for performance and cost efficiency • - Support centralized player data models, viewer analytics, publishing activity systems, and operational metrics • - Contribute to the unification of fragmented data ecosystems across multiple game teams and organizations • - Build and maintain reliable orchestration workflows and scheduling systems • - Participate in architectural discussions around scalability, governance, and data platform modernization

🎯 Requirements

• **Basic Qualifications:** • - BS or Master’s degree in Computer Science, related degree, or equivalent experience • - 5+ years experience with data-related and data management responsibilities • - Strong experience with Databricks • - Strong SQL and Python programming experience • - Experience building scalable ETL/ELT pipelines • - Experience with AWS data ecosystem and cloud-native architectures • - Experience with DBT, Apache Airflow or similar orchestration tools • - Strong understanding of data modeling and analytics engineering • - Experience working with large-scale structured and semi-structured datasets • - Experience implementing data governance and data quality practices • - Experience optimizing pipeline performance and scalability • - Strong communication and collaboration skills • - Ability to work independently within distributed engineering teams

🏖️ Benefits

• **Company benefits include:** • - Paid Time Off • - Mentored Career Development • - U.S. Holidays • - USD Remuneration • - Profit Sharing • - Maternity Coverage • - 100% Remote