Cloud Data Engineer

10 hours ago

Madison, Wisconsin, United States Saxon Global Full time
Job Summary

We are seeking a highly skilled Cloud Data Engineer to join our team at Saxon Global. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines using AWS services.

Key Responsibilities:

  • Collaborate with data engineering and development teams to design and implement data pipelines using AWS services such as Redshift, Glue, and DMS.
  • Architect and implement end-to-end data pipelines, ensuring data accuracy, reliability, and performance.
  • Design and implement ETL processes, including Changed Data Capture (CDC) and Slow Changing Dimension (SCD) logics, to integrate data from diverse source systems.
  • Provide expertise in Redshift database optimization, performance tuning, and query optimization.
  • Integrate Redshift with other AWS services, such as AWS Lambda, Amazon S3, and Airflow, to build end-to-end data pipelines.
  • Perform data profiling and analysis to troubleshoot data-related challenges and build solutions to address those concerns.
  • Proactively identify opportunities to automate tasks and develop reusable frameworks.
Requirements

To be successful in this role, you will need:

  • 12+ years of experience with AWS stack, including Glue, Spark, Python, and Redshift.
  • 10+ years of experience working with and personally implementing solutions involving CDC, SCD, and surrogate keys.
  • Proficient in SQL and Redshift for data manipulation.
  • Hands-on experience with AWS services like DMS, S3, Glue, Redshift, and Airflow.
  • Strong ETL knowledge and data modeling skills.
  • Skilled in complex ETL scenarios and data integration.
  • Expertise in AWS DMS for on-prem to cloud data migration.
  • Proficient in Python for Airflow DAGs and operators.
  • Oracle to Redshift script conversion experience.
  • Familiar with Git for version control.
  • Adept at identifying and optimizing Redshift queries.
  • Strong problem-solving skills with data accuracy focus.
  • Collaborative, agile team player with technical communication skills.
  • Proven track record of on-time, high-quality data solutions.
  • Experience in large-scale data environments.
  • Extensive Redshift and AWS experience for scalable solutions.
  • AWS data engineering or database certifications are a plus.

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