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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 ...

We are looking for a Data ETL Testing Engineer with hands-on experience in ETL testing, Python, AWS, and SQL. Responsibilities * Perform ETL, data warehouse, and source-to-target validation testing.

Experience in ETL testing, data quality, data validation, and database testing. * Experience with Oracle databases, SQL query writing, and data analysis. * Experience with Databricks and cloud ...

The role requires strong ETL testing experience and a minimum of 4 to 5 years of experience with Teradata, focusing on ensuring the quality and reliability of data processing. Qualifications

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 ...

The role involves hands-on ETL testing of data warehouses, data lakes, and web services integrations, emphasizing data quality and testing proficiency. Responsibilities : • Utilize ETL Requirements ...

The role involves testing ETL databases and requires hands-on experience with SQL and Power BI. Responsibilities : • Primary skills - ETL Database Tester, Power BI, SQL Server. • Secondary Skills ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

TX · On-site

The ideal candidate will have strong expertise in ETL testing, complex data transformation validation, SQL-based data reconciliation, and end-to-end data quality testing. The role will support large ...

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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.

More about Overnight Etl Testing jobs

What are the most commonly searched types of Etl Testing jobs?

The most popular types of Etl Testing jobs are:

Infographic showing various Overnight Etl Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

ETL Tester

Centraprise

Charlotte, NC • On-site

Full-time

Re-posted 29 days ago


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.