Senior Data Engineer

Описание

We seek a dynamic and talented Data Engineer to join our data team. The ideal candidate should have a strong background in data engineering, with a preference for those with a finance background. You will play a pivotal role in our data infrastructure, working closely with data scientists and analysts to ensure optimal data delivery throughout ongoing projects.

This is your mission

Design, construct, and maintain scalable data processing systems.Develop ETL processes to support the business’s reporting and analytics development, validation, and deployment.Collaborate closely with ML engineers and data scientists to gather requirements and implement complex data solutions to ensure optimal data delivery for model training and inferencing.Engineer features from raw data for ML models, ensuring data quality and integrity.Optimize and maintain our data pipelines, ensuring data integrity and timely data refreshes.Develop set processes for data mining, data modeling, and data production.Design and implement data applications and solutions in the financial domain, ensuring accurate business intelligence representation.Create and maintain documentation for all database and ETL processes and workflows.Stay updated with emerging technologies and trends in the data engineering space.Monitor data pipeline performance, identify bottlenecks, and ensure the scalability of our ML solutions.Stay updated with the latest developments in data engineering, machine learning, and financial data processing.

What you bring along

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.Proficient understanding of distributed computing principles.Experience with big data tools: Hadoop, Spark, Kafka, etc.Proficiency with relational SQL and NoSQL databases, such as Postgres, Cassandra, and MongoDB.Strong understanding of ML algorithms and principles, with hands-on experience in feature engineering. Familiarity with ML frameworks like TensorFlow, PyTorch, or Other. Strong experience in building and optimizing data pipelines, architectures, and data sets.Experience in performing root cause analysis on internal and external data processes.

Nice to Have:

Background in finance, financial modeling, or a related domain. Hands-on experience with financial platforms, and a clear understanding of financial data structures.

Your benefits

Training budgetKKM – monthly ticket (80% covered by us)MultiKafeteria (WorkSmile)Life Insurance (Generali)Private healthcare (LuxMed)Attractive Referral Program Full-time