Responsibilities
Please make an application promptly if you are a good match for this role due to high levels of interest.
Automate data ingestion, transformation and storage workflows
Ensure high availability and scalability of data pipelines to meet evolving business requirements
Develop and maintain Extract, Transform, load (ETL) processes for integration data from sources like flat files, databases and API’s
Get familiar with tools like BOOMI to support the data sourcing and transformation
Maintain high data quality standards, ensuring the accuracy, completeness and consistency of data across all systems
Collaborate with technical lead data and business analysts to design data models that enable advanced analytical and machine learning applications
Optimize data structures for performance, scalability, ensuring efficient querying and reporting
Develop efficient database queries, indexing strategies and ensure data integrity
Monitor the pipelines and infrastructure for performance, issues and bottlenecks
Continuously optimize processes and infrastructure to improve performance, reduce costs and enhance scalability
Work closely with cross-functional teams (business analysts, technical lead data and applications and business product owners) to develop end-to-end data solutions
Participate in agile ceremonies such as sprint planning, daily standup and retrospectives
Document data architecture, pipelines and workflows to ensure transparency and maintainability
Support UAT (User Acceptance Testing) to confirm solutions and reporting meet requirements
Document and resolve discrepancies found during testing
Analyze tickets raised through service xphnsxz now and provide personalized support and guidance to users
Manage proper communication with the users and assure them in a polite & calm way
Resolve tickets taking into account implemented SLA’s
Gather feedback post-implementation to identify areas for improvement
Proactively identify inefficiencies in reporting and implement effective solutions
Keep up with industry trends and emerging technologies to suggest innovative practices
Analyze current reports and processes to identify inefficiencies