Data Engineer
full time employee
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Do you want to work for an international company that truly values your expertise and is committed to continuous improvement? Do you want to be a part of a team that works with some of the most prominent automotive companies in the world and is focused on delivering exceptional results? If so, we might just be a perfect match for you!
We're a remote-first team of people who believe in the importance of the work they do and the profound positive impact they have on their clients. That's why we attach great importance to brilliant minds that always act for the team, yet never lose sight of the customer. We’re always open to exciting challenges and passionate about helping companies develop the skills necessary to thrive in today's digital world.
To join our international team, we’re currently looking for a Data Engineer who will be responsible for developing systems that collect, manage, and convert raw data into usable and actionable information for data scientists and business analysts to work with.
The perks of working with us
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Workplace flexibility: As part of our remote-first company you have the choice to work from anywhere you want.
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Working hours flexibility: Adapting the working model and hours depending on your according to your current situation and lifestyle.
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Health: To help you maintain a healthy lifestyle, we cover your gym membership in a fitness studio of your choice.
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Growth: Personal and professional development is an essential part of our culture. Therefore, we invest in further qualifications and trainings.
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Value appreciation: We appreciate the know-how commitment of our teams and make sure to offer a top-of-market compensation.
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International projects: We work on exciting projects with leading automotive companies and deliver solutions for global market leaders.
You have
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3-5 years of professional experience
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Professional working English proficiency; any level of German proficiency is a plus
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Experience in data engineering
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A proven record of applying your expertise across a range of industries and organizations
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Experience with data engineering tools and platforms such as Kafka, Spark, Hadoop
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Experience in building large-scale data pipelines using distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and distributed processing platforms such as Hadoop, Spark, Hive, Oozie, Airflow
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Experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) based Hadoop distributions
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Experience in applying data security strategies to solve complex business problems
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A proven record of creating Big data architecture, building and operating data pipelines
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Time management, interpersonal & organizational skills
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Strong sense of responsibility & the ability to work in a structured manner
You will be responsible for
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Developing systems that collect, manage, and convert raw data into usable and actionable information for data scientists and business analysts to work with
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Monitoring the existing metrics, analyze data, and lead partnership with other Data and Analytics teams in an effort to identify system and process improvements
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Providing assistance to a team that is responsible for the design, deployment, and maintenance of the business’s data platforms
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Creating data processing pipelines
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Writing clean and iterative code based on TDD
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Leveraging continuous delivery practices to deploy, support and operate data pipelines
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Advising our clients on how to use different distributed storage and computing technologies from the options available
