Senior ETL Test Engineer

EY

Bengaluru

On-site

INR 1,800,000 - 2,800,000

Full time

6 days ago
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Job summary

EY is seeking a Data Analytics Test Lead to oversee testing of BI and Data Warehousing solutions, including ETL, reports, and data quality across on‑premise and cloud platforms.

The role requires strong SQL, data validation, and experience with BI tools like Cognos, PowerBI, and Tableau. Knowledge of Hadoop/Spark and cloud services (AWS/Azure) is highly valued.

Qualifications

  • Experience in testing BI & DWH solutions including ETL and reporting layers.
  • Knowledge of data quality, profiling and data cleansing is essential.
  • Exposure to Hadoop/Spark and cloud platforms (AWS/Azure) is desirable.

Responsibilities

  • Develop Test Strategy for BI & DWH projects covering ETL and reports testing.
  • Design and execute manual and automation test cases; build automation scripts as needed.
  • Ensure test readiness including environments, data, and licenses; track defects.

Skills

BI Testing
DWH Testing
ETL Testing
SQL Skills
Data Quality
Test Strategy
Automation Testing
Hadoop/Spark
Cloud Platforms

Education

BE/BTech/MCA/M.Sc

Tools

Cognos
PowerBI
Tableau
Qlik
Informatica
SSIS
AWS
Azure
Databricks

Job description

Job Summary

As a Data Analytics Test Lead, you will be responsible for testing Business Intelligence & Data warehousing Solutions both in on premise and cloud platform and should ensure Quality of deliverables. You will work closely with Test Manager for the Projects under Test. Testing proficiency in ETL, data-warehousing, and Business Intelligence area are required for this position.

Added advantage to have experience in testing Big Data/unstructured data using Hadoop/Spark framework, cloud platform knowledge either in AWS/Azure, knowledge in predictive analytics, Machine Learning and Artificial intelligence.

Responsibilities
  • Develop Test Strategy for Testing BI & DWH Projects for various aspects like ETL testing & Reports testing (Front end and Backend Testing), Integration Testing and UAT as needed. Provide inputs for Test Planning aligned with Test Strategy.
  • Perform Test Case design, identify opportunity for Test Automation. Develop Test Cases both Manual and Automation Scripts as required.
  • Ensure Test readiness (Test Environment, Test Data, Tools Licenses etc)
  • Coordinate testing efforts with cross-functional teams, including ETL developers, data engineers, business analysts, and project managers, to ensure testing aligns with project timelines and objectives
  • Establish and enforce data quality standards, data profiling, and data cleansing procedures to maintain high-quality data.
  • Delivery of Testing needs for BI & DWH Projects.
  • Perform unstructured data / big data testing both in on-premise and cloud platform.
  • Thorough understanding of Requirements and provide feedback on the requirements.
  • Perform Test execution and report the progress. Report defects and liaise with development & other relevant team for defect resolution.
  • Prepare Test Report and provide inputs to Test Manager/ Lead for Test Sign off/ Closure
  • Provide support in Project meetings/ calls with Client for status reporting.
  • Provide inputs on Test Metrics to Test Manager/ Lead. Support in Analysis of Metric trends and implementing improvement actions as necessary.
  • Handling changes and conducting Regression Testing
  • Generate Test Summary Reports
  • Co-coordinating Test team members and Development team in order to resolve the issues
  • Interacting with client-side people to solve issues and update status
  • Able to lead team across geographies
  • Actively take part in providing Analytics and Advanced Analytics Testing trainings in the company
To qualify for the role, you must have
  • BE/BTech/MCA/M.Sc
  • Overall 5-8 years of experience in Testing Data warehousing / Business Intelligence solutions, minimum 3 years of experience in Testing BI & DWH technologies and Analytics applications.
  • Strong in Data warehouse testing - ETL and BI and having exposure to the reporting tools such as Cognos/PowerBI/Tableau/Qlik etc
  • Exposure to one or more ETL tools such as Informatica, SSIS, SAP Data services, AWS Glue, Azure Data factory
  • Strong SQL skills with experience in writing complex data validation SQLs on databases like Oracle/ SQL Server/ Teradata / Snowflake/Postgres/Redshift
  • Proficiency in data services of any leading cloud providers like AWS, Azure, GCP and thorough knowledge on data platforms like Databricks, Azure synapse
  • Validate data integrity and consistency across various stages of ETL pipelines.
  • Experience in master data management (MDM) is added advantage
  • Working experience with python data processing is desirable.
  • Work with cross-functional teams to ensure that ETL solutions meet business needs and quality standards.
  • Experience in Bigdata testing with Hadoop/Spark framework and exposure to predictive analytics testing is desirable
Ideally, you'll also have
  • Experience in Performance & Load Testing for backend systems is preferred. Exposure to Performance Tuning (Tuning concepts - indexes, segments, partitions, query tuning) of database systems would be an added advantage.
  • Experience/ exposure to Test Automation and scripting experience in perl & shell is desirable
  • Experience with Test Management and Defect Management tools preferably HP ALM
  • Able to contribute as an individual contributor and when required Lead a small Team
  • Able to create Test Strategy & Test Plan for Testing BI & DWH applications/ solutions that are moderate to complex / high risk Systems
  • Design Test Cases, Test Data and perform Test Execution & Reporting. Should be able to perform Test Management for small Projects as and when required
  • Participate in Defect Triaging and track the defects for resolution/ conclusion
  • Good communication skills (both written & verbal)
  • Good understanding of SDLC, test process in particular
  • Good analytical & problem solving or troubleshooting skills
  • Good understanding of Project Life Cycle and Test Life Cycle. Exposure to CMMi and Process improvement Frameworks is a plus. Should have excellent communication skills & should be able to articulate concisely & clearly
  • Should be ready to do an individual contributor as well as Team Leader role
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