Lead Data Engineer (ETL & Big-Data)
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
The role
Lead the design, development, and maintenance of scalable ETL pipelines and data platforms handling multi-petabyte data with near real-time insights.
Individually design and implement resilient automation data frameworks to enable reusable, reliable data processing.
Coordinate and drive data pipeline development across multiple engineers, ensuring high-quality, on-time delivery.
Lead requirement gathering, design, and development of complex datasets with cross-functional stakeholders.
Mentor teammates across the data maturity lifecycle and promote best practices in data engineering.
Collaborate with global teams (AMER, APAC) to optimize architecture, performance, and cost, leveraging Spark, Trino, Hive, and Airflow in cloud environments.
Individually design and implement resilient automation data frameworks to enable reusable, reliable data processing.
Coordinate and drive data pipeline development across multiple engineers, ensuring high-quality, on-time delivery.
Lead requirement gathering, design, and development of complex datasets with cross-functional stakeholders.
Mentor teammates across the data maturity lifecycle and promote best practices in data engineering.
Collaborate with global teams (AMER, APAC) to optimize architecture, performance, and cost, leveraging Spark, Trino, Hive, and Airflow in cloud environments.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.