Sr Data Engineer (Only W2 & NO C2C)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer in Iselin, NJ, for 6-12 months at a pay rate of "Unknown". Candidates must have 9+ years of experience and expertise in Hadoop, HIVE, AWS, Spark, PySpark, Java, Python, and Scala.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 14, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Iselin, NJ
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🧠 - Skills detailed
#Airflow #Lambda (AWS Lambda) #Big Data #Scala #AWS (Amazon Web Services) #Automation #Migration #Data Engineering #Redshift #"ETL (Extract #Transform #Load)" #Data Modeling #Java #Python #Spark (Apache Spark) #PySpark #Kafka (Apache Kafka) #HDFS (Hadoop Distributed File System) #Databricks #Data Lake #Cloud #Spring Boot #HiveQL #Data Processing #Cloudera #S3 (Amazon Simple Storage Service) #GIT #Hadoop #Programming #Dimensional Data Models #AWS Glue #SQL (Structured Query Language) #Data Integration #Jenkins
Role description
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Role: Sr Data engineer
Location: Iselin, NJ (hybrid 3 times a week too Iselin, NJ)
Duration: 6-12 months
EXP: 9+ Years
Client: Wells Fargo
Need to come onsite for final Interview only in Local office Iselin, NJ
MUST HAVE:
1. Hadoop
1. HIVE
1. AWS
1. Spark
1. PySpark
1. Java
1. Python
1. Scala
1. Java(spring Boot)
Job Description:
Key Skills:
• Big Data Technologies: Hadoop, Spark, HDFS, Hive, Cloudera, Hortonworks
• Cloud Platforms: AWS (Glue, Lambda, Redshift, S3, CloudWatch)
• ETL/ELT Tools: AWS Glue, Python, PySpark, Databricks
• Programming Languages: Python, Java, Scala, SQL, HiveQL
• Data Integration & Migration: Experience with Hadoop, Kafka, data lakes, and real-time streaming
• Data Modeling & Transformation: Dimensional data models, structured/unstructured data processing
• CI/CD & Automation: Jenkins, Git, Autosys, Airflow
• looking for hands on data engineers that have work with Java(spring Boot), Spark, Hadoop, and HIVE.
Thanks & Regards
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Sandy
Email: Sandy@bridgenexus.com
Desk: 510-400-7029
