Big Data Engineer

Inetum is an international agile digital consulting group. In the post-digital transformation era, our purpose is to enable each of the more than 27,000 people who are part of our team to continuously renew themselves, positively experiencing their own digital flow.
With a presence in 26 countries, we promote flexible career paths, local innovation, and a healthy work-life balance. In addition, Inetum has been recognized as a Top Employer, a certification that endorses our commitment to well-being, professional development, and excellence in talent management.

As part of the Data Engineer team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.

• Experience in agile models
• Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.
• Experience with Java, Python to write data pipelines and data processing layers
• Experience in Airflow & Github.
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• Experience in writing map-reduce jobs.
• Demonstrates expertise in writing complex, highly-optimized queries across large data sets
• Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.
• Highly Proficient in SQL.
• Experience with Cloud Technologies ( GCP, Azure)
• Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)
• Provides and supports the implementation and operations of the data pipelines and analytical solutions
• Performance tuning experience of systems working with large data sets
• Experience in REST API data service – Data Consumption
• Retail experience is a huge plus.

Bachelor's degree or engineering degree in one of the following areas:

• Computer Systems
• Computer Science
• Information Technology
• Software Engineering
• Applied Mathematics
• Statistics
• or related field

OR At least 4 years of verifiable experience in roles related to:

• Data engineering
• Big Data development experience
• Large-scale data processing
• Data pipeline development
• Use of technologies such as Hadoop, Spark, Kafka, Hive, etc.
• English language at conversational level