Master Data Engineer for Cloud-Native ETL Solutions
3 weeks ago
Milestone Technologies, Inc. is seeking a seasoned Master Data Engineer for Cloud-Native ETL Solutions to spearhead the development of scalable data architectures and optimize cloud technologies for real-time data processing.
About the Role:
- Develop and lead the architecture of cloud-native data solutions, leveraging AWS, Azure, Oracle, Snowflake, and Databricks platforms for efficient data integration and analytics.
- Analyze complex data systems, creating conceptual, logical, and physical data models, as well as validating and executing ETL/ELT mappings and transformation logic.
- Craft and review data models and schemas to enhance new and current data sources for the data warehouse, ensuring efficiency and scalability.
- Conduct thorough unit, integration, and system testing of data sources to ensure data integrity against source systems, aiming for continuous performance optimization.
- Collaborate with business stakeholders and IT departments to transform business needs into technical specifications and practical data models.
- Leverage expertise in Apache Spark for comprehensive data processing and analytics, enhancing data workflow efficiency and scalability.
- Innovate with Snowflake's Snowpark and Snowpipe to architect scalable data management solutions, facilitating real-time data ingestion.
- Implement Databricks Delta Live Tables to automate and ensure data ETL processes, maintaining data quality and consistency for real-time analytics.
- Design high-performance data pipelines, utilizing cloud native ETL tools (AWS Glue, Azure Data Factory) and Oracle Data Integrator (ODI).
- Utilize knowledge of data governance, security, and compliance standards across all data platforms and tools.
- Stay up-to-date with emerging trends and technologies in data engineering, promoting innovative solutions that propel the data strategy.
About You:
- 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.
- Strong programming skills in SQL, Python, Java, or Scala, with the capability to develop intricate data models and algorithms.
- Exceptional problem-solving skills, complemented by the ability to work both independently and collaboratively.
- Outstanding communication skills, with proficiency in engaging with both technical and non-technical team members.
We offer an estimated annual salary of $140,000-$170,000, depending on location and qualifications.
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