Job Description:

• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it

• Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality

• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms

• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or

• Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting

• Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required