Data Engineer Tester

3 weeks ago

Bengaluru, Karnataka, India NTT DATA Full time

Job Description

Req ID: 307085 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer Tester to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Primary Responsibility as Data Engineer
1) Build and implement PySpark-based data pipelines in Azure Synapse to transform and load data into ADLS in Delta format
2) Design and implement dimensional (star/snowflake) and 3NF data models. Optimized for access using Power BI
3) Perform unit testing of data pipelines and its transformations
4) Design and build metadata driven data pipelines using Pyspark in Azure Synapse 
5) Analyze and optimize Spark SQL queries
6) Optimize integration of data lake with Power BI semantic model
7) Collaborate with cross-functional teams (data architects, engineers, and POs) to ensure data models align with business needs
8) Perform STM(source to target mapping) from source to multiple layers in the data lake
9) Maintain version control and CI/CD pipelines in Git and Azure DevOps
10) Integrate Azure Purview to enable access controls. Additionally implement row level security

Primary Responsibility as Tester
1) Build and implement automated test validation frameworks using PySpark to validate data pipelines.
2) Develop and execute test cases to verify data transformations from source to taget in data lake
3) Develop and execute performance tests on Spark SQL queries
4) Test access controls and row level security 
 

3+ Years of experience in :


• Hands-on experience with Azure Synapse, ADLS, Delta format, and metadata-driven data pipelines

• Experienced in implementing dimensional (star/snowflake) and 3NF data models

•Experienced in PySpark and Spark SQL, including query optimization and performance tuning

• Experienced in writing complex SQL including windowing functions

• Experienced in performing Source-to-Target Mapping (STM) by analyzing source systems and defining transformation logic

• Strong problem-solving and analytical skills for debugging and optimizing data pipelines in Azure Synapse

• Familiarity with CI/CD practices in Git and Azure DevOps

• Working experience in Azure DevOps-based development environment

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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