Big Data Engineer

North Holland  ‐ Onsite
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Description

For an international E-commerce organization, located in Amsterdam, we are looking for an experienced Big Data Engineer with a proven track-record in building data workflows and data products at scale.

The industry is moving in a fast pace, therefore we are constantly investigating technical advancements that can improve the way we leverage data to deliver compelling user experiences.
In this role you will be part of the central data team, working with highly skilled engineers and scientists to help deliver the strategy around leveraging Big Data and advanced Data Science techniques to transform the business across the globe.

Responsibilities:
. Work closely with developers, product managers and data science teams to develop new ideas, implement and test them, and measure success
. Work with data scientists to translate algorithms into cleanly coded data products
. Use your ETL and Big Data infrastructure knowledge to improve the data systems

Requirements:
. 5+ years of professional experience in big data engineering with an established track record of making things that work at scale
. Degree in Computer Science, Math, Statistics or similar field a plus
. Experience with Scala and Java 8 programming languages
. Knowledge and experience with Python is a plus
. Hands-on experience with a big-data ecosystem - Hadoop, Yarn, Spark, Kafka, Flink, Cassandra, Kafka Streams, Luigi, Airflow
. Knowledge of event-driven design
. Proficient in designing efficient and robust ETL workflows
. Proactive, curious and self-motivated
. Fluency in English and great communication skills and ability to concisely deliver recommendations & proposals
. Preferred experience with a cloud computing environment - Amazon EC2, Google Cloud, Azure
. Some experience with machine learning models

Michael Bailey International is acting as an Employment Business in relation to this vacancy.

Start date
01/02/2019
Duration
11 months
From
Michael Bailey Associates - Amsterdam
Published at
11.12.2018
Project ID:
1687179
Contract type
Freelance
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