Engineering and Quality - Lead Data Engineer
quality tools. Exposure to Databricks and Snowflake for modern data engineering and analytics use cases. Familiarity...
quality tools. Exposure to Databricks and Snowflake for modern data engineering and analytics use cases. Familiarity...
platforms (AWS, Azure, or GCP). Experience with big data technologies such as Spark, Hadoop, Kafka, or Databricks. Knowledge...
) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets...
such as Spark, Hadoop, Kafka, or Databricks. Knowledge of data warehousing concepts and tools such as Snowflake, Redshift, BigQuery...
. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally...
for structured and unstructured data using Databricks, Python, and PySpark. The ideal candidate is passionate about modern data... Responsibilities: Design, develop, and optimize scalable data pipelines using PySpark and Databricks Build workflows to ingest...
. Proficiency in Python and SQL;experience building scalable data and ML workflows using PySpark and Databricks or similar...
, but not expected Python, Databricks, or any cloud data platform LLM APIs, automation tools, or anything you've built...
Pipelines · Python & PySpark · Apache Spark & Databricks · ML Frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost... with Apache Spark, Databricks, and Delta Lake · Strong experience with Scikit-learn, XGBoost, PyTorch, TensorFlow, and Keras...
). Strong communication skills and comfort working with team across time zones. Databricks, PySpark, .NET, Azure, or GitHub...