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About
This is a
hands-on engineering role
focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively. Responsibilities
Design, build, and maintain scalable
data pipelines and ETL/ELT workflows
to ingest and transform data from multiple sources Develop and optimize
batch and near real-time data processing pipelines
for analytics and reporting Build and maintain
data warehouse and data lake structures
to support business intelligence and analytics use cases Implement and maintain
data models
that support efficient querying and reporting Improve performance and scalability of data systems through
query optimization, indexing, and partitioning strategies Implement
data quality checks, monitoring, and logging
to ensure reliability of data pipelines Exposure to AI initiatives and experience building data pipelines supporting AI workflows Work with data architects and engineering teams to implement
scalable data platform designs Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs Maintain documentation for data pipelines, data models, and data workflows Qualifications
Bachelor\'s/Master\'s in Engineering 5-8 years
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Languages
- English
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