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ETL / Datawarehouse Tester - Software Quality Assurance

ETL / Datawarehouse Tester - Software Quality Assurance

HerSecondInningsBangalore
30+ days ago
Job description

Experience : 6 - 9 Years

About Her Second Innings :

Her Second Innings is a forward-thinking organization dedicated to empowering professionals and delivering robust, data-driven solutions. We specialize in developing and managing complex data platforms and analytics for our clients. At Her Second Innings, we understand the critical importance of data integrity and quality. Join our team to play a pivotal role in ensuring the reliability and performance of large-scale data ecosystems, contributing to impactful projects that leverage cutting-edge data technologies.

Job Summary :

We are seeking an experienced and meticulous ETL & Big Data Tester with 6 to 9 years of dedicated experience to join our Quality Assurance team. You will be instrumental in validating complex data workflows and ensuring the integrity, accuracy, and quality of large-scale data processing pipelines. The ideal candidate will possess strong hands-on experience with various ETL tools, advanced SQL scripting, and modern big data platforms, with a keen eye for detail to test and troubleshoot issues across the entire data lifecycle.

Key Responsibilities :

  • Test Strategy & Design : Design, develop, and execute comprehensive test cases and test plans specifically for ETL workflows, complex data transformation processes, and critical data migration initiatives.
  • Data Integrity & Quality Assurance : Validate data integrity and data quality across diverse data environments, including traditional data warehouses and modern big data systems. Ensure data accuracy, consistency, completeness, and conformity to business rules.
  • Data Flow Understanding : Collaborate closely with development teams, data engineers, and business analysts to gain a deep understanding of data flow architecture, source-to-target mappings, and intricate business logic driving data transformations.
  • Automation & Scripting : Develop and maintain automated data validation scripts using SQL and other relevant scripting languages to enhance testing efficiency and repeatability.
  • Documentation & Reporting : Create and maintain thorough testing documentation, including test cases, test results, and defect reports. Provide clear and concise reports on data quality metrics and testing progress to stakeholders.
  • Root Cause Analysis : Perform in-depth root cause analysis of identified data discrepancies, data processing failures, and data quality issues, and recommend effective solutions to development and data engineering teams.
  • Performance Testing (Data) : Assist in performance testing of data pipelines to identify bottlenecks in ETL processes and optimize data loading and transformation speeds.
  • Cross-Platform Validation : Ensure data consistency and accuracy when data moves between various platforms such as data lakes, data warehouses, and reporting layers.

Skills Required :

  • Experience : 6-9 years of hands-on experience specifically in ETL Testing, Data Validation, and Data Migration.
  • ETL Tools : Strong practical experience with at least two or more prominent ETL Tools such such as Informatica, Talend, SSIS, Ab Initio, or DataStage.
  • Databases & SQL : Expert-level proficiency in SQL (Structured Query Language). Extensive experience with PL / SQL (for Oracle) and / or T-SQL (for SQL Server) for complex query writing, data validation, and stored procedure testing.
  • Data Concepts : Solid understanding of core data concepts including Data Quality, Data Integration, and Data Profiling.
  • Data Platforms : Hands-on experience working with and testing on various data platforms such as Snowflake, Redshift, BigQuery, Teradata, Oracle, and / or SQL Server.
  • Problem-Solving : Excellent analytical and problem-solving skills with a meticulous attention to detail for identifying data anomalies and inconsistencies.
  • Communication : Strong verbal and written communication skills to effectively collaborate with data engineers, developers, and business stakeholders.
  • Teamwork : Ability to work independently and effectively within a collaborative team environment.
  • (ref : hirist.tech)

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