Testing-ETL-Senior

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EY_ Consulting _Data Analytics Testing_Senior

The opportunity

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.

Skills And Attributes For Success

• 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

Ideally, you'll also have

What Working At EY Offers

At EY, we're dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer :

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Skills Required

Etl Testing, AWS Glue, Tableau, Informatica, Predictive Analytics, Azure Synapse, snowflake , Postgres, Big Data Testing, Oracle, Business Intelligence, Python, Aws, Sap Data Services, Hadoop, Sql Server, Data Warehousing, Teradata, Ssis, Redshift, Sql, Azure Data Factory, Gcp, Powerbi, Spark, Qlik, Cognos, Databricks, Azure