Digital Ops Support Analyst

About the job Responsibilities: Understand the existing data flows and pipelines within the Helios warehouse. Absorb the domain knowledge behind the datasets in the Helios warehouse. Triage data gaps and bugs in production with required details towards a fix. Replay the data pipeline or upload missing data to fix identified data gaps. Apply code fixes needed to ensure data integrity within the Helios warehouse. Validate the data post-fix to ensure it meets expectations. Work with other departments to identify the right team to apply the fix. Collaborate with other departments to absorb knowledge about new pipelines or flows. Follow established business rules for the use of an application or process. Represent the application or process with other areas of the business that use or integrate with this part of the business. Seek input from relevant areas of the business that should have inputs to this application or process. Understand, evaluate, and react to routine problems or situations with external contacts. Interact within the framework of existing business policies and practices or established business relationships. Identify the nature of a complex or undefined problem and develop the best solution or application from numerous alternatives. Requirements: Requires a college or university degree, technical certification, or equivalent experience. 3 or more years of experience working in data pipeline-related technologies or data validations. Interpersonal skills to deal with sensitive, emotional, or potentially controversial situations. Familiarity with data management of an application overall. Required Skills: Core skills in programming languages (SQL, Python). Fundamental practical knowledge of AWS services, like S3, SageMaker, RDS, Kinesis, DynamoDB, Lambda. Fundamental practical knowledge of Snowflake and its properties. Ability to understand and analyze end-to-end data flow and pipeline. Familiarity with database concepts. #AditiConsulting # 26-05898