Senior Data Engineer at Mindera, designing and building robust data solutions to power analytics, machine learning, and real-time data applications.
Requirements
- Strong hands-on experience in Python and SQL
- Proven experience in building data pipelines for analytics and ML workloads
- Strong understanding of data modelling, data warehousing, and data lakes
- Hands-on experience with tools like Spark, Airflow, DBT, or similar
- Experience working with cloud platforms (AWS preferred)
- Familiarity with modern data formats such as Parquet, Iceberg
- Experience with both batch and real-time data processing
- Knowledge of CI/CD practices (Jenkins, GitHub Actions)
- Experience with Infrastructure as Code (Terraform) and containerization (Docker)
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment
- Understanding of Vector Databases (e.g., Pinecone, Weaviate, or similar)
- Familiarity with Embeddings (text/image embeddings, semantic search use cases)
- Basic to intermediate knowledge of Machine Learning concepts and pipelines
Benefits
- Flexible working hours (self-managed)
- Competitive salary
- Annual bonus, subject to company performance
- Access to Udemy online training and opportunities to learn and grow within the role