We are looking for an experienced Data Engineer who can take a proactive role in a self-organized and driven team where the “Innovation by All” revolution is well underway.

If you are eager to work in an agile organization, where re-prioritization happens regularly, and you are willing to drive the agenda and continually find improvements both in code and in processes, HTEC is the right place for you.

Key Responsibilities:

• Participate in the design and development of Big Data applications
• Create ETL processes and frameworks for analytics, data management, and data warehousing
• Implement large-scale near real-time streaming data processing pipelines

Requirements:

• Strong coding experience in Scala, Java or Python 
• Strong knowledge of relational and non-relational databases
• In-depth knowledge of the Hadoop ecosystem (HDFS, Spark, HIVE)
• Knowledge of Unix-like operating systems (shell, ssh, grep, awk)
• Experience with JVM build systems (SBT, Maven, Gradle)
• Experience with Github-based development processes and scrum methodology
• Fluent English is a must

An ideal candidate would also have:

• Experience with streaming technologies (Kafka, Spark Streaming)
• Experience with job scheduling tools (Jenkins, Apache Airflow)
• Experience with building data pipelines on AWS, Azure, or Google Cloud
• Experience with Machine Learning would be a huge plus