Senior Data Engineer
1 month ago
Data Engineering Role at Milestone Technologies, Inc.
The Senior Data Engineer will lead the development of scalable data solutions across batch and streaming platforms, utilizing cloud technologies such as AWS or similar to meet business and technical demands. Key responsibilities include analyzing complex data elements and systems, crafting and peer reviewing data models and schemas, and conducting thorough testing of data sources to ensure data integrity.
- Design and implement data pipelines using Snowflake's Snowpark and Snowpipe, facilitating real-time data ingestion and processing.
- Utilize Apache Spark for comprehensive data processing and analytics, enhancing data workflow efficiency and scalability.
- Leverage Databricks Delta Live Tables to automate and ensure data ETL processes, maintaining data quality and consistency for real-time analytics.
- Maintain high-performance data pipelines, making extensive use of AWS, Azure, and Databricks, along with seamless integration with Oracle Data Integrator (ODI).
Qualifications:
- Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
- 3-5 years of proven expertise in data processing and analytics using Apache Spark, with hands-on experience in Databricks Delta Live Tables for managing real-time data.
- Proficiency in Snowflake, including mastery of Snowpark and Snowpipe, paired with experience in cloud native ETL tools (AWS Glue, Azure Data Factory, Google Cloud Dataflow).
- Comprehensive background in Oracle, Snowflake, Databricks, and Oracle Data Integrator (ODI) for in-depth data integration and processing.
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