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. #J-18808-Ljbffr