Kayzen - Senior Data Engineer/Data Ops (m/f/d)
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Requirements
• You have strong analytical and problem-solving skills • You can translate business requirements into data solutions • You have excellent stakeholder management skills. • Previous experience with Clickhouse is a plus • Previous experience with ad-tech is a plus • Experience with Real time big data processing is a plus • General understanding of Machine Learning techniques (Neural Networks, Random Forest, etc.) and ML frameworks (Mlflow, PyTorch, Tensorflow, etc.) is a plus
Responsibilities
• As a Data Engineer/Data Ops, you will work to create innovative solutions for handling peta-bytes of data with billions of rows & joins. Your work can vary from creating real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast! You’ll be responsible for: • Data Engineer/Data Ops • Program and maintain our data pipelines that fuels our on-premise/cloud data warehouse used to generate and serve our models • Maintain and improve our fleet of data servers (the software), making sure they are reliable and able to process our billions of logs and data points • Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment. • Make suggestions and lead projects to improve our data processing capabilities • Contribute to the team enabling us to be always better • Sounds like you? 😉We are looking for a candidate with a minimum 5+ yrs of professional experience in creating and maintaining big data pipelines, identifying data related process improvements, maintaining Kubernetes, Hadoop and Spark infrastructure. • Sounds like you? • Bachelor's/Master’s degree in a quantitative field of Mathematics, Physics, Computer Science, Machine learning Engineering, Business Analytics, Information Management or related field. • You know relevant programming languages (Python, Java, etc) • Expert in SQL & NoSQL and big data processing pipelines (we use Python, Spark, Airflow) • Have proven experience managing data infrastructure that can store and process Petabytes of data (we use Hadoop, Spark) • Kubernetes wizard. LLM symbiotic. • You have proven affinity with data • You have strong analytical and problem-solving skills • You can translate business requirements into data solutions • You have excellent stakeholder management skills. • Previous experience with Clickhouse is a plus • Previous experience with ad-tech is a plus • Experience with Real time big data processing is a plus • General understanding of Machine Learning techniques (Neural Networks, Random Forest, etc.) and ML frameworks (Mlflow, PyTorch, Tensorflow, etc.) is a plus
Benefits
• Exceptional career growth and learning opportunity • A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market • Direct, day-to-day work experience with the management • A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Turkey, the UK and soon more countries • A flexible work-from-home arrangement • A 500-dollar home-office setup budget • A 1000-dollar annual learning and development budget
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