Applaudo Studios
Technology
DataEngineer(GCP)
“Data Engineer (GCP) at Applaudo Studios. Skills: Data Engineering, GCP Services, Data Pipelines, ETL/ELT. Design, build, and maintain scalable batch and streaming. Develop ingestion frameworks and integrate data from internal”
Industry & Context.
Problem-solving skills; Analytical thinking; Troubleshooting
4-month project with possible extension up to 6 months
What They're Looking For.
Must Have
Bachelor's degree in Information Technology, Computer Science, Cybersecurity, or a related discipline, or equivalent professional experience, Proficiency in SQL (advanced level), Coding experience with Python, Hands-on experience with GCP data platforms, Proven experience designing, building, and maintaining scalable ETL/ELT pipelines, Experience developing batch and streaming data pipelines, Experience with workflow orchestration, Experience with version control, Experience with CI/CD practices, Experience with infrastructure-as-code approaches, Knowledge of monitoring, logging, debugging, and troubleshooting data systems, Experience with performance tuning, scalability, and cost optimization, English proficiency (B2 or higher)
Nice to Have
Familiarity with BI and analytics tools such as Looker Studio and Looker Platform, Understanding of KPI definition, reporting needs, and data consumption patterns
What You'll Do.
and maintain scalable batch and streaming
Develop ingestion frameworks and integrate data from internal
Implement and optimize robust ETL/ELT processes
and maintain high availability and integrity
Contribute to the design and evolution of the
Implement and optimize data storage and processing solutions
and performance optimization across
Support CI/CD practices and infrastructure automation for data
Develop and maintain scalable
and standardized data
Implement data validation
and monitoring frameworks
Maintain data lineage
technical documentation
Enforce data governance
and access management policies
and governed datasets for reporting
Collaborate with analysts
and cross-functional teams to
Support the definition of data contracts
Contribute to the development and optimization of curated
Assist in exploratory analysis and performance optimization of
Promote best practices in data engineering
How You'll Work.
Team & Collaboration
Partnering with technical and non-technical stakeholders; Collaborative environments; Cross-functional teams; Stakeholders; Business stakeholders
Communication Scope
English proficiency
Process & Methodology
Workflow orchestration, Version control, CI/CD practices, Infrastructure-as-code
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