INTL
WWR
어려움
외주
원격 가능
Azumo: Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America
예상 기간
6개월 이상 (장기계약)
난이도
어려움
기술 스택
Databricks
AWS
DBT
Apache Airflow
SQL
Python
AI 분석 요약 기회점수 72/100
게이밍 및 LiveOps 환경을 위한 대규모 데이터·분석 인프라를 구축하는 데이터 엔지니어링 프로젝트입니다. Databricks와 AWS 기반으로 확장 가능한 ETL/ELT 파이프라인을 설계하고, 플레이어 인사이트·퍼블리싱 분석·운영 지표를 위한 데이터 모델과 거버넌스 체계를 구축합니다. Databricks, SQL, Python, DBT, Airflow에 강한 5년차 이상 데이터 엔지니어에게 적합하며, 게이밍 텔레메트리 경험이 있으면 우대됩니다.
핵심 요구사항
- Databricks 및 AWS 데이터 생태계 실무 경험
- 확장 가능한 ETL/ELT 파이프라인 구축 경험
- 강력한 SQL·Python 프로그래밍 역량
- DBT, Airflow 등 오케스트레이션 도구 경험
- 데이터 모델링 및 데이터 거버넌스/품질 관리 경험
- 데이터 관련 업무 5년 이상 경력
산출물
- 확장 가능한 ETL/ELT 파이프라인
- 핵심 데이터 모델 및 분석용 데이터셋
- 데이터 거버넌스·품질·리니지·관측성 체계
- 오케스트레이션 및 스케줄링 워크플로우
매력 포인트
- 완전 원격 근무
- 명확하고 상세한 기술 스펙
- 게이밍 산업의 대규모 데이터 플랫폼 경험 기회
주의사항
- 예산·급여 정보가 명시되지 않음 ("경력에 따라 협의")
- 라틴아메리카 거주자 대상 채용으로 지역 제한 존재
프로젝트 유형장기계약
적합 개발자5년차 이상 데이터 엔지니어 (Databricks + AWS + Python/SQL)
프로젝트 원문 설명
Headquarters: Buenos Aires, Argentina
URL: http://azumo.com
Description
Azumo is currently looking for 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 will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.
The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.
Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.
Requirements
The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.
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
Required Skills:
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
Nice to Have:
- Gaming industry experience
- LiveOps or telemetry pipeline experience
- Experience supporting analytics for player behavior, engagement, monetization, or publishing systems
- Experience with real-time or streaming data systems
- Experience with viewer analytics or esports data ecosystems
- Experience with KPI reporting and operational dashboards
- Familiarity with cost optimization and cloud infrastructure analytics
- Experience working in fast-paced product engineering organizations
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
- 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
- Professional English proficiency (B2/C1)
Benefits
Company benefits include:
- Paid Time Off
- Mentored Career Development
- U.S. Holidays
- USD Remuneration
- Profit Sharing
- Maternity Coverage
- 100% Remote
About Azumo
Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.
At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
To apply: https://weworkremotely.com/remote-jobs/azumo-data-engineer-databricks-aws-gaming-liveops-latin-america
URL: http://azumo.com
Description
Azumo is currently looking for 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 will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.
The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.
Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.
Requirements
The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.
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
Required Skills:
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
Nice to Have:
- Gaming industry experience
- LiveOps or telemetry pipeline experience
- Experience supporting analytics for player behavior, engagement, monetization, or publishing systems
- Experience with real-time or streaming data systems
- Experience with viewer analytics or esports data ecosystems
- Experience with KPI reporting and operational dashboards
- Familiarity with cost optimization and cloud infrastructure analytics
- Experience working in fast-paced product engineering organizations
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
- 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
- Professional English proficiency (B2/C1)
Benefits
Company benefits include:
- Paid Time Off
- Mentored Career Development
- U.S. Holidays
- USD Remuneration
- Profit Sharing
- Maternity Coverage
- 100% Remote
About Azumo
Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.
At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
To apply: https://weworkremotely.com/remote-jobs/azumo-data-engineer-databricks-aws-gaming-liveops-latin-america
WWR에서 원본 확인
원본 보기