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Data Engineer
2 months ago
Required Experience :
- 5+ years as a hands on Solutions Architect and/or Data Engineer designing and implementing data solutions.
- Team lead, and/or mentorship of other engineers
- Ability to develop end-to-end technical solutions into production and to help ensure performance, security, scalability, and robust data integration.
- Programming expertise in SQL and Python
- Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
- SQL and the ability to write, debug, and optimize SQL queries
- Create and deliver detailed presentations.
- Detailed solution documentation (e.g., including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
- Snowflake SnowPro Certification
Prefer any of the following :
- Production experience in core data platforms : Snowflake, AWS, Azure, Databricks
- Data integration technologies : Matillion, Azure Data Factory, Fivetran, Kafka, event/streaming, Streamsets, AWS Data Migration Services, or other data integration technologies
- Multiple data sources- (e.g. queues, relational databases, files, search, API)
- Complete software development lifecycle experience- including design, documentation, implementation, testing, and deployment
- Automated data transformation and data curation : dbt, Spark, Spark streaming, automated pipelines
- Workflow Management and Orchestration : Airflow, AWS Managed Airflow, Luigi, NiFi
- Certifications : Snowflake Advanced Certifications, Azure Data Certifications, AWS Data Certifications
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