Data Engineer

Job Summary

Design, develop, and maintain scalable, secure, and highly available data architectures on cloud platforms such as AWS, Azure, or Google Cloud. Build and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data warehouses to ensure smooth data flows and availability. Ensure data quality, accuracy, and consistency across multiple data sources. Utilize programming languages like Python, Java, Scala, and RDBMS, NoSQL databases, and Cloud-based data warehousing services such as Snowflake. Create and maintain documentation for data pipelines, data models, database schema, and data architecture. Write SQL queries to extract data for analytics and reporting purposes.

Responsibilities

• Design, develop, and maintain scalable, secure, and highly available data architectures on cloud platforms such as AWS, Azure, or Google Cloud.
• Build and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data warehouses to ensure smooth data flows and availability.
• Ensure data quality, accuracy, and consistency across multiple data sources.
• Utilize programming languages like Python, Java, Scala, and RDBMS, NoSQL databases, and Cloud-based data warehousing services such as Snowflake.
• Create and maintain documentation for data pipelines, data models, database schema, and data architecture.
• Write SQL queries to extract data for analytics and reporting purposes.

Qualifications

• Bachelor s degree in Science, Technology, or Engineering (any) along with five (05) years of experience in the job offered or related occupation is required.
• Work location: Alpharetta, GA and various unanticipated locations throughout the U.S.

Skills

• Data Pipelines
• ETL
• Data Warehousing
• SQL
• Python
• Java
• Scala
• Snowflake
• NoSQL

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