Senior Data Engineer

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

• Strong hands-on experience developing data pipelines using Python
• Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
• Proven experience with Azure Data Factory (ADF) and Azure Synapse
• Experience with ETL orchestration tools such as Apache Airflow
• Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
• Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
• Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
• Experience supporting machine learning or predictive modeling pipelines
• Familiar with containerization and version control: Docker, Git, and Azure DevOps
• Understanding of data serialization formats (Parquet, Avro, JSON)
• Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)

Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.