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About the role
Lead data pipeline, data modeling, architecture, and data strategy efforts.
- •As an Analytics Engineer at Bird, you will lead data pipeline, data modeling, architecture, and data strategy efforts, working closely with the engineering team.
- •You will design semantic layers to support self-service reporting and discovery, managing projects from requirements gathering to implementation.
- •Key Responsibilities Design and implement understandable data models that support flexible querying and data visualization.
- •Instrument algorithms and machine learning pipelines from complex business requirements.
- •Advance automation efforts to reduce time spent manipulating & validating data.
- •Own the creation and support of internal data architecture and governance standards.
- •Lead the selection, implementation, optimization, and integration of data tools.
- •Requirements Bachelor's degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Finance, etc.). 2-3+ years of relevant experience in data engineering.
- •Expertise in writing SQL and in data-warehousing concepts.
- •Experience with big-data technologies (e.g.
Tech stack
SQLPythonSparkApache Kafka
Match insights
Tech:SQL, Python, Spark, Apache Kafka
Level:Mid