ITBMS - Columbus, OH

posted 3 months ago

Full-time
Columbus, OH
Administrative and Support Services

About the position

The Snowflake Developer position is a critical role within the banking domain, focusing on the design, development, and maintenance of data pipelines. The ideal candidate will have over 10 years of experience in the banking sector, with a strong emphasis on utilizing Snowflake, SQL Server, and Control-M to manage and optimize data processes. This role requires a deep understanding of ETL processes to ensure that data is accurately and efficiently loaded into Snowflake, which is essential for maintaining the integrity and performance of the data infrastructure. In this position, you will be responsible for optimizing SQL Server databases to enhance performance and scalability. You will also monitor and manage Control-M job schedules to ensure that data processing occurs in a timely manner. Collaboration is key, as you will work closely with data analysts and other stakeholders to gather data requirements and deliver effective solutions. Troubleshooting and resolving data-related issues will be part of your daily tasks, along with providing support for ongoing data operations. Ensuring data quality and integrity is paramount, and you will be expected to conduct rigorous testing and validation of data processes. Staying updated with the latest industry trends and best practices in data engineering is also crucial for success in this role. A solid understanding of cloud platforms and experience in data warehousing reporting and analysis will further enhance your ability to contribute effectively to the team. Additionally, a strong comfort level in the consumer banking domain is essential for understanding the specific data needs and challenges faced in this industry.

Responsibilities

  • Design, develop, and maintain data pipelines using Snowflake, SQL Server, and Control-M.
  • Implement ETL processes to ensure data is accurately and efficiently loaded into Snowflake.
  • Optimize SQL Server databases for performance and scalability.
  • Monitor and manage Control-M job schedules to ensure timely data processing.
  • Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions.
  • Troubleshoot and resolve data-related issues and provide support for data operations.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Stay updated with the latest industry trends and best practices in data engineering.
  • Understand cloud platforms and their integration with data processes.
  • Conduct data warehousing reporting and analysis.

Requirements

  • 10+ years of experience in the banking domain.
  • Strong experience with Snowflake and SQL Server.
  • Proficient in ETL processes and data pipeline development.
  • Experience with Control-M for job scheduling and monitoring.
  • Ability to optimize databases for performance and scalability.
  • Strong collaboration skills to work with data analysts and stakeholders.
  • Proficient in troubleshooting and resolving data-related issues.
  • Experience in ensuring data quality and integrity through testing and validation.
  • Familiarity with cloud platforms and data warehousing reporting.

Nice-to-haves

  • Experience with artificial intelligence language tools for job description enhancement.
  • Knowledge of the latest trends in data engineering.
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