Data Engineer, BuildOps

• Master’s degree in Computer Science, Engineering, or Equivalent of 6 + years of experience on data engineering roles (building pipelines, ETL Jobs, Designing schema etc.,)
• Proficiency in programming languages (e.g., Python, javascript) and SQL (e.g., PostgreSQL, MySQL, SQL Server)
• Experience working with ETL tools (FlatFile Preferred)
• Proficiency with Snowflake and AWS technologies
• Proficiency with dbt, Apache Airflow and Airbyte
• Working experience in AI and machine learning
• Familiarity designing Schema for Data Warehouse (star / snowflake schema)
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is a plus
• Strong problem-solving skills and ability to work in an innovative, dynamic environment
• If you’re passionate about data engineering, thrive on complexity, and seek a company that values excellence, BuildOps could be your perfect fit!

Desirable

• As a Data Engineer, you’ll be at the forefront of designing, constructing, and maintaining robust data pipelines and infrastructure
• Your contributions will be pivotal in ensuring efficient data processing and availability for our organization
• Create data pipelines that fulfill both functional and non-functional business requirements
• Identify and design enhancements to streamline data workflows
• Automate quality monitoring and promptly address any deviations from data delivery SLAs
• AI-Driven Validation: Implement machine learning algorithms to automatically detect discrepancies, anomalies, and errors
• Implement CI/CD practices to enhance data ingestion and delivery processes
• Build and maintain infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources
• Collaborate closely with data, design, product, and executive teams to address technical data-related challenges
• Provide technical assistance to various teams within the organization, ensuring their data infrastructure needs are met