Experienced Data Engineer
Core
Designing and implementing modern data platforms, building robust ETL/ELT pipelines, and enabling analytics and AI use cases for public and private sector clients.
Role type
Senior Data Engineer (Cloud & Data Platform)
Builds
Modern data platforms, ETL/ELT pipelines, data products
Domain
Cloud computing, Data Engineering, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Cloud platforms (Azure, GCP, AWS), Scalable data pipelines (ETL/ELT), Agile methodologies
Preferred skills
Spark (PySpark), BI dashboards, REST/GraphQL APIs, Kafka/Stream processing, CI/CD, Infrastructure as Code (Terraform), LLMs/VLMs, Vector databases, MLOps, Additional programming languages (Go, TypeScript, Java), ML frameworks (PyTorch)
Technologies
Azure, GCP, AWS, Databricks, Redshift, Snowflake, Spark, PySpark, PowerBI, Looker Studio, Kafka, Flink, Terraform, MLflow, PyTorch, Jupyter Notebook
Responsibilities
Designing and implementing modern data platforms, Building robust ETL/ELT pipelines and data products, Working with cloud-native services and infrastructure, Enabling analytics, AI, and machine learning use cases, Improving data quality, observability, governance, and reliability, Automating workflows and reducing operational overhead
Seniority
Senior, hands-on IC with mentorship responsibilities
