ETL Tester / Jersey City, NJ/Charlotte, NC (Only Local)

Jersey City, NJ, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
$100,000 - $120,000/yr
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Analytical Skill
  • Apache Hadoop
  • Apache Hive
  • Apache Kafka
  • Apache Spark
  • Banking
  • Communication
  • Data Analysis
  • Data Loading
  • Data Mapping
  • Data Processing
  • Data Quality
  • Data Warehouse
  • ELT
  • Extract
  • Transform
  • Load
  • HDFS
  • HP ALM
  • HiveQL
  • Informatica
  • Informatica PowerCenter
  • JIRA
  • Meta-data Management
  • Oracle
  • Payments
  • Profit And Loss
  • SQL
  • Scalability
  • Scripting
  • Snow Flake Schema
  • Test Plans
  • Test Scripts

Summary

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

Job Description
ETL Tester

Must Have Technical/Functional Skills
Primary Skill: ETL testing
Secondary: ETL Testing, Autosys, SQL, Shell Scripting, Exposure to IDMC/Informatica
Experience: Minimum 10 years

Roles & Responsibilities
Analyze data mapping documents and business requirements to design comprehensive test plans and cases.
Perform source-to-target data reconciliation, check data loading, and ensure transformation rules are applied correctly.
Write complex SQL scripts for validation (count, data completeness, data consistency, data truncation).
Identify, log, and track data defects using tools like JIRA or HP ALM or Octane.
Automate test scripts and validate data volume, performance, and scalability.
Expert-level knowledge of SQL for data analysis.
Experience with tools such as Informatica and IDMC.
Understanding of data warehouse concepts and architectures (e.g., star/snowflake schema).
Familiarity with Hadoop or Spark is often preferred.
Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster.
Strong analytical and troubleshooting skills.
Excellent communication for collaborating with developers and stakeholders.
Knowledge in Metadata dependent ETL process and batch/job framework

Tools & Skills:
IDMC, Informatica Power center, Hive, Kafka Knowledge, SQL, Oracle, PL/SQL
Domain: Banking knowledge, Payments knowledge preferred.
Concept: Data Warehousing, Data Transformation, ETL/ELT, Data Quality.

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: 8951241
  • Posted 4 hours ago
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