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Data Analyst (Big Data, Hadoop), On-site - 69370

PRIMUS Global Services Inc.Arlington, VA🇺🇸United StatesPosted 20 Jul 2026

Why This Role Stands Out

This role offers significant opportunities to leverage your Big Data and Hadoop expertise to drive impactful business decisions, with excellent potential for skill development in a reputable company. If you thrive on analyzing complex datasets and building scalable data solutions, this on-site position in Arlington, VA is an exciting next step for your career. Apply now to become a key player in transforming data into actionable insights.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Data Analyst (Big Data, Hadoop), On-site

We have an immediate need for an experienced Data Analyst with strong expertise in Big Data analytics, data pipelines, Python/Scala, SQL, and Hadoop ecosystems to analyze complex datasets, build data-driven solutions, and deliver actionable insights that support business decision-making. The ideal candidate will be a hands-on data professional with experience bridging business requirements, data management, and technical teams while developing scalable data processes and analytics solutions.

This is a full time onsite position based in Arlington, VA for a candidate with deep experience in Data Analytics, Big Data Platforms, Hadoop, Cloudera, Python, Scala, Apache Spark, SQL, Hive, Airflow, NiFi, Sqoop, Data Pipelines, Data Engineering, Data Quality, Data Validation, Data Cleansing, Data Modeling, Data Warehousing, Data Integration, ETL Processes, Data Processing Workflows, Business Intelligence, Data Visualization, Dashboard Development, Predictive Analytics, Machine Learning Workflows, Feature Engineering, Model Evaluation, Automation, KPI Development, Reporting Tools, and Cloud Platforms including Databricks and AWS.

For immediate consideration, please contact:

Satakshi Rawat
PRIMUS Global Services
Phone: Desk Ext. 204
Email:

Skills

SQL
Scala
AWS
ETL
Machine Learning
Airflow
Apache
Apache Spark
Databricks
Hadoop
Hive
Python

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