Azure Lead Data Engineer designing and developing ETL/ELT pipelines with Azure Data Factory and Snowflake. Collaborating with cross - functional teams in a cloud - native environment.
About the role
- Google Data Architect creating and optimizing data solutions using GCP technologies. Collaborating with teams to enhance enterprise data architecture across business functions.
Responsibilities
- Support Data Architecture & Solution Design
- Translate business requirements into data models, integration patterns, and architecture components
- Contribute to conceptual, logical, and physical data model development for analytics, APIs, and operational workloads
- Design and enhance scalable ingestion and transformation pipelines using GCP services
- Help modernize data flows by applying cloud-native patterns
- Support data governance and quality efforts
- Collaborate with data engineers, analysts, product teams, and senior architects
Requirements
- Bachelor's degree or equivalent experience
- Minimum 5 years of work experience
- Foundational experience (1–3 years) in data engineering, cloud development, or analytics engineering
- Knowledge of GCP services (BigQuery, Pub/Sub, Cloud Storage, Dataflow, Bigtable preferred but not required)
- Strong SQL skills and familiarity with Python or similar scripting languages
- Understanding of ETL/ELT concepts, data modeling fundamentals, and modern data processing patterns
Benefits
- Health insurance coverage
- Wellness program
- Life and disability insurance
- Retirement savings plan
- Paid leave programs
- Paid holidays
- Paid time off (PTO)
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