Why This Role Stands Out
Advance your career in Big Data with Nityo Infotech Corporation, where you'll build impactful data pipelines and deploy cutting-edge data-driven applications. This hybrid role is perfect for experienced Python/Scala, Spark, and Hadoop engineers looking to leverage their skills in a collaborative environment and drive innovation. Apply now to join a leading technology firm and shape the future of data!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Arlington, VA, United States
Posted
1 week ago
SQLScalaAWSMachine LearningAirflowDatabricksHadoopHiveJavaPython
Job Description
We have 2 open roles- one for Engineer (7-10 years) and another for Senior / Lead Engineer (12+ years)
Big Data / Hadoop Engineer Python/Scala, Spark, Hadoop
Job Summary:
- 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.
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