Lead Big Data Engineer

About the role

The Data semantic solution team is looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain.

What you'll do

• Develop high quality, secure and scalable data pipelines using spark, Scala/ python on Hadoop or object storage
• Leverage new technologies and approaches to innovate with increasingly large data sets
• Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration
• Understand, implement and enforce Software development standards and engineering principles in the Big Data space
• Work closely with business stakeholders and embedded engineering teams within business teams in a collaborative manner to help them build scalable products in quick time

What you need

• 10–18 years in data science & ai
• Python
• ETL
• Hadoop
• Data warehousing
• Spark
• Scala
• Any graduate

Good to have

• Java