The business problem is to ensure quality and timely data is loaded into the Enterprise Data Warehouse by leading the Production Support team, resolving incidents, and driving operational efficiency.
Requirements
Experience with traditional data architecture: sourcing and staging data, data integration, dimensional/snowflake and de-normalized design, managed views, data marts and analytical sandboxes.
Experience with data governance and data management approaches, including data quality.
Experience with business intelligence and advanced analytics: canned reporting, self-service insights, integrated data platforms, dashboarding, visualization, data science, machine learning.
Experience with SQL, Python, DataStage, AWS and Snowflake.
Responsibilities
Support incident resolution and continuous improvement to drive efficiency in our operations.
Responsible for performance and maintenance of L1 and L2 rotations, point of escalation for priority incidents.
Ensure that all assigned production support issues are properly logged, prioritized and resolved.
Effectively communicate and turnover incidents when appropriate to delivery teams for level 2 support.
Ensure that all assigned business-as-usual (BAU) tasks are properly scheduled, staffed and completed.
Coordinate with internal and external teams to perform DataStage production code migrations.
Facilitate production support handovers with the build teams for newly developed jobs.
Other
If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you.
Manage onshore and offshore production support team.
Provide monthly operations report, tracking performance against key metrics.
Represent operations in design reviews and architectural checkpoints.
Owner of vendor relationship with support’s SOW provider
