October 29
• Manage all aspects of the data and analytics system from stream configuration to ETL to aggregate tables and cubes for reporting needs. • Establish and maintain the data pipeline architecture. • Anticipate and understand the impact of technical decisions across the organization. • Partner with all facets of the business to include development, operations and consumers of data. • Form and maintain relationships with stakeholders to understand needs and translate those needs into priorities and executable plans. • Provide technical guidance to data engineers. • Mentor engineers throughout the data and analytics organization. • Review and provide feedback on technical deliverables from peer and junior data engineers. • Write scripts to schedule data ingestion and syncing. • Evaluate, lead and form back end logic to create data marts from requirements for the purposes of self-serving stakeholders. • Oversee the code creation from junior members of the team. • Troubleshoot issues and obstacles independently and act as a first level of escalation support for the team. • Fix and research highly complex or difficult technical problems as a final source of escalation. • Assist data architects to build the working framework for data search and retrieval. • Identify required changes to the design and communicate to the architects. • Other duties as assigned.
• 10 years experience of hands-on data platform design and development in large-scale and complex environments. • Experience with SQL and Python. • Experience with Redshift and Postgres. • Experience with AWS platform and technologies including Kinesis, Firehose and Glue. • Experience with cloud storage such as S3. • Experience orchestrating data ingestion and syncing metadata with event data. • Experience with ETL for reporting and business users (marketing, finance, product owners). • Recognized degree in computer science or certification in technical related field. • 12 years experience of hands-on data platform design and development in large-scale and complex environments. • Experience with Tableau and Tableau Server.
• For information on Sysco’s Benefits, please visit https://SyscoBenefits.com
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