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Overnight Etl Testing Jobs (NOW HIRING)

... testing Secondary: ETL Testing, Autosys, SQL, Shell Scripting, Exposure to IDMC/Informatica Experience: Minimum 10 years Roles & Responsibilities • Analyze data mapping documents and business ...

Key Skill /Skill Specialization : ETL Testing Mandatory Skills : Strong SQL Knowledge, DWH, PLSQL, ETL : · Write test data scripts, based on ETL mapping artifacts -Execute data scripts and detailed ...

The ideal candidate will have experience with ETL Testing of Data Warehouses, Data Lakes & Web Services based integrations. The candidate will work closely with client project leads. This is a ...

Senior ETL Testing Job Location : Plano, TX / Jersey City, NJ (ONSITE) Job Type : Full-Time Must Have Technical/Functional Skills Primary Skill: ETL/DB - Oracle & SQL Server, Selenium web driver ...

NYC, NY Perform ETL testing including data extraction, transformation, and loading validations * Validate data from source to target ensuring accuracy, completeness, and consistency * Design and ...

Position: ETL Test Lead Location: Herndon, VA Duration : Long term : * Should have 8+ Years of experience in ETL. * Good knowledge in ETL Testing and Informatica. * Good knowledge in Unix environment.

Experience in EDW and DataStage QA testing * Experience ETL tester with experiences planning, executing manual testing of ETL pipelines. * Should have Experience with AWS Cloud * Experienced with ...

Perform ETL testing, validation, and troubleshooting throughout migration phases. * Assist with cutover planning and post-migration stabilization activities. * Support IDMC configuration and hybrid ...

Herndon VA Candidates with minimum 4 years of ETL testing experience, preferred Informatica. Good experience in ETL testing and strong datawarehouse concepts Good experience in executing Autosys jobs ...

... testing 2) Experience with Conversion of SSIS packages to Informatica testing- Data Validation Option tool etc., 3) Experience with ETL testing - running Informatica workflows, using DVO (Data ...

Position title: ETL Testing Engineer Location: Washington, DC (Local or Nearby) Duration: 6 Months + Tasks : Competencies: Must have testing experience within Agile or Scrum methodologies. Must have ...

Senior data testing lead to standardize and own enterprise data integration test strategy across ETL, data warehouse, and ODS platforms. Role leads intake and fulfillment of data requests, aligns ...

Required Skills: ETL Testing experience in enterprise environments Strong SQL and database validation skills Experience with data warehouse testing Data mapping, source-to-target validation Test case ...

Required Skills: ETL Testing experience in enterprise environments Strong SQL and database validation skills Experience with data warehouse testing Data mapping, source-to-target validation Test case ...

The Data QA / ETL Test Engineer will own end-to-end data testing activities for large-scale data platforms supporting P&C insurance solutions. This role requires strong hands-on experience in ETL ...

Candidate must have solid knowledge, skillset and understanding of SQL, DB and ETL testing. ETL Test Analyst Responsibilities (not limited to): # Solid understanding of Data Mappings # DB validation ...

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Overnight Etl Testing information

What is the difference between Overnight Etl Testing vs Data Warehouse Tester?

AspectOvernight Etl TestingData Warehouse Tester
Primary FocusValidating ETL processes during overnight batch runsTesting data integrity and accuracy within data warehouses
Work EnvironmentNight shifts, batch processing environmentsDaytime, data warehouse platforms
Required SkillsSQL, ETL tools, scripting, data validationSQL, data modeling, testing methodologies

Overnight ETL Testing primarily involves validating ETL processes during scheduled overnight runs, focusing on data extraction, transformation, and loading. Data Warehouse Testers concentrate on ensuring data accuracy and integrity within the data warehouse environment. While both roles require SQL and data validation skills, Overnight ETL Testing often involves working during off-hours to verify batch processes, whereas Data Warehouse Testers focus on ongoing data quality within the warehouse during regular hours.

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Infographic showing various Overnight Etl Testing job openings in the United States as of May 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
ETL Tester

ETL Tester

Centraprise

Charlotte, NC • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title : ETL Tester
Job Location : Charlotte, NC / Plano, TX (ONSITE)
Job Type : Full-Time
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.