ETL Tester

Groupe Kardol

Jersey City (NJ)

Sur place

USD 70 000 - 110 000

Plein temps

14 jours+

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Résumé du poste

ITBMS Inc. is seeking an ETL Tester in Jersey City/Charlotte, NJ for a full-time role. You will analyze data mappings to craft robust test plans, perform data reconciliation, and validate ETL transformations using SQL.

You will log defects, automate tests, and ensure performance and scalability within a data warehouse context. The role requires strong SQL skills, experience with Informatica/IDMC, and familiarity with big data concepts (Hadoop/Spark).

Qualifications

  • Analyze data mapping documents and business requirements to design test plans and cases.
  • Perform source-to-target data reconciliation, load checks, and transformation validation.
  • Write complex SQL scripts for data validation (count, completeness, consistency).
  • Identify and track data defects using JIRA, HP ALM, or Octane.
  • Automate test scripts and validate data volume, performance, and scalability.
  • Expert-level SQL knowledge for data analysis.
  • Experience with Informatica and IDMC tools.
  • Understand data warehousing concepts (star/snowflake schemas).
  • Familiarity with Hadoop or Spark is preferred.

Responsabilités

  • 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

Connaissances

ETL testing
SQL
Shell scripting
Autosys
IDMC exposure

Outils

IDMC
Informatica PowerCenter
Hive
Kafka
SQL
Oracle
PL/SQL

Description du poste

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ITBMS Inc., is seeking the following.

Job Title: ETL Tester
Location: Jersey City, NJ/Charlotte, NJ
Duration: Full-time
Just Have Technical/Functional Skills
Primary Skill: ETL testing

Secondary: ETL Testing, Autosys, SQL, Shell Scripting, Exposure to IDMC/Informatica

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.

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