Data Engineering lead - COE
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Job Summary (List Format) Data Engineer (Snowflake, 10+ Years Experience):
- Over 10 years of IT experience, with at least 5 years in Data Engineering and 3 years of hands-on work with Snowflake.
- Responsible for designing, developing, and maintaining scalable data pipelines and data products to support analytics and business intelligence.
- Expert in Snowflake integration, data modeling, performance optimization, and data warehouse development.
- Delivers data products to downstream consumers via APIs, data marts, and reporting platforms.
- Skilled in data processing, transformation, and ETL/ELT development using SQL, Python, and Snowflake.
- Experienced with cloud platforms (AWS, Azure, GCP) and cloud-native data services.
- Strong knowledge of data governance, data quality, security, and modern data architecture best practices.
- Demonstrates excellent stakeholder management, problem-solving, and communication skills in Agile environments.
- Over 10 years of IT experience, with at least 5 years in Data Engineering and 3 years of hands-on work with Snowflake.
- Responsible for designing, developing, and maintaining scalable data pipelines and data products to support analytics and business intelligence.
- Expert in Snowflake integration, data modeling, performance optimization, and data warehouse development.
- Delivers data products to downstream consumers via APIs, data marts, and reporting platforms.
- Skilled in data processing, transformation, and ETL/ELT development using SQL, Python, and Snowflake.
- Experienced with cloud platforms (AWS, Azure, GCP) and cloud-native data services.
- Strong knowledge of data governance, data quality, security, and modern data architecture best practices.
- Demonstrates excellent stakeholder management, problem-solving, and communication skills in Agile environments.