Title: Technical Data Manager L6
Location: Arlington VA (Hybrid 2 days week onsite)
Need to: Manage team and technical proficiency
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 in building and deploying production data-driven applications and data processing workflows/pipelines and/or
- High proficiency in using Python or Scala Spark Hadoop platforms & tools (Hive Airflow Nifi Sqoop) SQL to build Big Data products & platforms
- Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
- 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.
Title: Technical Data Manager L6 Location: Arlington VA (Hybrid 2 days week onsite) Need to: Manage team and technical proficiency Job Description Ability to easily move between business data management and technical teams; ability to quickly intuit the business use case and identify techni...
Title: Technical Data Manager L6
Location: Arlington VA (Hybrid 2 days week onsite)
Need to: Manage team and technical proficiency
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 in building and deploying production data-driven applications and data processing workflows/pipelines and/or
- High proficiency in using Python or Scala Spark Hadoop platforms & tools (Hive Airflow Nifi Sqoop) SQL to build Big Data products & platforms
- Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
- 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.
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