Lead Data Engineer

Main Purpose:

The Lead Data Engineer is responsible for leading the design, development, and maintenance of the organization&039;s data infrastructure and data processing pipelines. They will work closely with cross- functional teams to ensure reliable, secure, and efficient data operations that support the organization&039;s data- driven initiatives.

Key Accountabilities:

Work with engineering and data science team to design and build services that empower optimal data- driven business operations.
Contribute in designing and maintaining effective and highly- performing data architecture.
Analyze and communicate data insights to stakeholders.
Collaborate with stakeholders and cross- functional team to design and build data products and data services for internal consumption.
Own data operations and be responsible for data usage, quality, reliability, security and availability.
Build and maintain the infrastructures and ETL pipelines for extraction and processing of structured and unstructured data.

Experience:

7+ years of experience as a Data Engineer and 2 years of experience in similar role.

Work related skills:

Strong computer science background and knowledge of software development methodologies.
Experience with following data tools/systems: dbt, Spark, Storm, Delta Lake, Databricks, BigQuery, PowerBI, etc.
Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration.
Excellent knowledge of data modeling and SQL.
Familiarity with Azure Data Platform and a backend stack (Python, Go) is a plus.

Soft skills:

Diligent, self- motivated, have a strong sense of autonomy and can work independently or with a team.
Excellent problem- solving, critical thinking, and communication skills.

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Cập nhật gần nhất lúc: 2026-03-18 00:45:02