Senior Data Engineer

What you bring along:

• 5+ years of experience as a Data Engineer;
• Experience in building and optimizing data pipelines, architectures, and data sets;
• Various hands-on experience in building data infrastructure in the Cloud and on-premise;
• 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;
• Experience with data tools like Spark, Kafka, etc.;
• Familiarity with ML frameworks like TensorFlow, PyTorch, or Other;
• Experience in performing root cause analysis on internal and external data processes;
• English – Upper-Intermediate or higher.

Nice to have:

• Experience with data visualization (Tableau or Power BI);
• Work in finance or a related domain;
• ML or Data certification;
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

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;
• Lead and mentor a team of data professionals, providing guidance, support, and fostering a collaborative work environment.
• Stay updated with the latest developments in data engineering, machine learning, and financial data processing.

Your benefits:

• Our employees get regular performance and salary reviews;
• We offer an attractive social and benefits package;
• Everyone at Avenga is subject to professional growth via our mentorship program;
• The company provides extended training and certification opportunities;
• We foster professional freedom by offering free-of-charge English courses from A1 to C2;
• We stay up to date with the industry by embarking on tech talks, webinars, conferences, and hackathons;
• Avenga cares for its employees well-being by providing well-rounded health insurance coverage and fitness compensation programs;
• Our employees’ families are no less important, as we offer maternity aid and financial support for a number of family reasons, including marriage and childbirth;
• The company fosters a sense of professional belonging and an environment of togetherness: we achieve things together and celebrate our milestones.