Notice Period: Immediate to 30 Days (Serving Notice Only)
Required candidate profile
Solid coding ability in Python and SQL; experience with Spark/PySpark or equivalent distributed processing. Proven experience building streaming and near-real-time data solutions (Kafka/Event Hubs/Kinesis or similar). Experience integrating data from APIs, databases, files, and operational systems;
Experience with cloud data ecosystems (Azure/AWS/GCP) and up-to-date storage/compute patterns (lakehouse/warehouse).
Robust engineering discipline: version control, testing, CI/CD, observability/monitoring,
Preferred:
Experience with platforms including Palantir Foundry, Databricks, Snowflake, or comparable enterprise data platforms; orchestration tools (Airflow, ADF, Prefect) and data quality frameworks; exposure to AI-enabled operational workflows (RAG/LLM apps, recommendations, anomaly detection) in governed settings; prior customer-facing/embedded role (solutions engineering, consulting, or forward-deployed delivery).