Tiger Analytics is looking for a Cloud Architect in Google Cloud Platform to add to its dynamic and rapidly scaling team.
We’re looking for solid engineers who bring fresh ideas from their own experience and are eager to tackle new problems across the stack.
Expect to use the latest frameworks and contribute to them as needed.
Analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP.
GCP experts with strong experience in working with modern data integration frameworks, big data and Devops, and is proficient with data programming languages (e.g. Python, SQL).
Design and develop scalable data ingestion frameworks to transform a variety of datasets.
Solid knowledge in Dataproc, BigQuery, Google Cloud composes and other Paas offerings from GCP.
Innovate cloud-native data solutions such as database structures and functional capabilities, security, back-up and recovery specifications, etc.
Build and maintain data integration utilities, data scheduling and monitoring capabilities, and source-to-target mappings and data lineage trees.
Implement and manage production support processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points.
Maintain system performance by identifying and resolving production and application development problems; calculating optimum values for parameters;
evaluating, integrating, and installing new releases; performing routine maintenance; answering user questions.
Lead technical teams and projects to deliver projects and accomplish business and IT objectives.
Skills and Qualifications :
8+ years of data engineering and / or data warehousing experience.
4+ years of experience leading technical teams and delivering outcomes.
2+ years of deep experience in building GCP data solutions using services such as storage, virtual machines, serverless technologies, and parallel processing technologies.
Background in data with experience in architecture, data modelling, data engineering, data governance using all different types of databases.
Working knowledge of agile development including DevOps concepts
Experience with Google SDKs and programmatic access services
Proficient in a relevant data / development language for cloud platforms (e.g. R, Python, Java, C# / Unix)
Proficient in SQL
Cloud certifications are a plus.