Data Engineer

Posted One Month Ago
Hiring Remotely in United States
Remote
Senior level
Fintech • Financial Services
The Role
Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.
Summary Generated by Built In
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. 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.

Email Resume to HR Dept., Opus Technologies, Inc., at [email protected]

Skills Required

  • Bachelor's degree in Science, Technology, or Engineering
  • Five years of experience in the job offered or a related occupation
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The Company
HQ: Alpharetta, GA
1,000 Employees
Year Founded: 1997

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