Senior Data Engineer
Core
Designing and building robust data solutions that power analytics, machine learning, and real-time data applications.
Role type
Senior Data Engineer
Builds
Scalable, reliable, and efficient data platforms for analytics and ML workloads
Domain
Data Engineering / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Python, SQL, data pipeline construction, data modelling, data warehousing, data lakes, Apache Spark, Airflow, DBT, cloud platforms (AWS), Parquet, Iceberg, batch and real-time data processing, CI/CD (Jenkins, GitHub Actions), Infrastructure as Code (Terraform), containerization (Docker), Vector Databases, Embeddings, semantic search, basic Machine Learning concepts
Preferred skills
feature stores, streaming technologies (Kafka, Kinesis), data governance, data quality frameworks, LLM-based applications
Technologies
Spark, Airflow, DBT, AWS, Parquet, Iceberg, Jenkins, GitHub Actions, Terraform, Docker, Pinecone, Weaviate
Responsibilities
Designing and building robust data solutions, collaborating with Data Scientists and Product teams, working with cross-functional teams to deliver high-quality data products
Seniority
Senior, hands-on IC
