ETL Informatica/Hadoop Developer / Jersey City, NJ/Charlotte, NC (Only Local)

Jersey City, NJ, US • Posted 6 hours ago • Updated 6 hours ago
Full Time
On-site
$100,000 - $120,000/yr
Fitment

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Job Details

Skills

  • Agile
  • Apache Flume
  • Apache HBase
  • Apache Hadoop
  • Apache Hive
  • Apache Kafka
  • Apache Oozie
  • Apache Pig
  • Apache Spark
  • Apache Sqoop
  • Apache ZooKeeper
  • Business Intelligence
  • CA Workload Automation AE
  • Collaboration
  • Data Cleansing
  • Data Integration
  • Data Modeling
  • Data Quality
  • Data Warehouse
  • Database
  • Documentation
  • Extract
  • Transform
  • Load
  • HDFS
  • Informatica
  • Informatica PowerCenter
  • JSON
  • Jersey
  • Job Scheduling
  • MapReduce
  • NoSQL
  • Oracle
  • PL/SQL
  • Performance Tuning
  • Process Engineering
  • SQL
  • System Testing
  • Technical Writing
  • Testing
  • XML

Summary

Title: ETL Informatica/Hadoop Developer
Location: Jersey City, NJ/Charlotte, NC (Local)
Duration: Full Time
Video Interviews
Experience: Minimum 10 years

Job Description
Primary Skill: ETL Informatica Developer
Secondary: Oracle, SQL
Experience: Minimum 10 years

Roles & Responsibilities
ETL Process Development: Design, develop, and maintain ETL processes using Informatica PowerCenter or other relevant Informatica tools.
Deep understanding of HDFS, YARN, MapReduce, Hive, Pig, HBase, Flume, Sqoop, Zookeeper, Oozie.
Experience with Spark, Kafka, NoSQL databases.
Experience in Agile Methodology
Experience with code versioning tools like Bit-Bucket
SQL Proficiency: Utilize SQL/PLSQL to extract, transform, and load data.
Exposure to advanced transformations like data transformations, Parsing JSON/XML messages
Experience in Job scheduling tools Like Autosys
Data Integration: Integrate data from various sources, ensuring data consistency and quality.
Data Warehouse Design: Design and maintain data warehouses to support business intelligence activities.
Performance Optimization: Optimize SQL script/queries for speed and efficiency.
Troubleshooting: Identify and resolve issues in ETL processes.
Documentation: Create and maintain technical documentation for ETL processes.
Testing: Perform unit, integration, and system testing on ETL processes.
Collaboration: Collaborate with cross-functional teams to ensure successful implementation of ETL processes.
Data Quality: Ensure data quality by implementing data cleansing and transformation processes.
Data Modeling: Develop and maintain relational and dimensional data models.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10113363
  • Position Id: 8951230
  • Posted 6 hours ago
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