Manager, Data Engineering

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Manager, Data Engineering State/Province1 | Job Posting Country IN India | State/Province Karnataka | Job Posting City Bangalore | City Zip Code 560087 Job Purpose and Impact The Supervisor II, Data Engineering job sets goals and objectives for the achievement of operational results for the team responsible for designing, building and maintaining robust data systems that enable data analysis and reporting. This job leads implementing the end to end process to ensure that large sets of data are efficiently processed and made accessible for decision making. Key Accountabilities DATA & ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust. DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others. DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization. DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data. DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization. STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners. DATA FR

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