Responsibilities:

• Lead in the creation and maintenance of optimized data pipeline architectures on large and complex data sets.
• Assemble large, complex data sets that meet business requirements.
• Act as lead to identify, design, and implement internal process improvements and relay to relevant technology organization.
• Work with stakeholders to assist in data-related technical issues and support their data infrastructure needs.
• Automate manual ingest processes and optimize data delivery subject to service level agreements; work with infrastructure on re-design for greater scalability.
• Keep data separated and segregated according to relevant data policies.
• Demonstrated ability to join a complex global team, collaborate crossfunctionally (data scientists, platform engineers, business stakeholders), and take ownership of major components of the data platform ecosystem and develop data ready tools to support their job.
• Be up-to-date with the latest tech trends in the big-data space and recommend them as needed.
• Identify, investigate, and resolve data discrepancies by finding the root cause of issues; work with partners across various cross-functional teams to prevent future occurrences

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