Want to get hired at NTT DATA?
Business Consulting Technical Analyst
NTT DATA
Pune, Maharashtra, IndiaOn Site
Original Job Summary
About the Business Consulting Technical Analyst Role
NTT DATA is seeking a Business Consulting Technical Analyst with strong ETL, GCP, and PySpark expertise. This role involves designing, implementing, and optimizing data pipelines, building ETL workflows, and leveraging GCP services for scalable and efficient data processing.
Key Responsibilities
- Design and implement data pipelines on GCP using PySpark.
- Develop and maintain ETL workflows for various GCP services.
- Utilize GCP services such as BigQuery, Cloud Storage, Dataflow, and Dataproc.
- Employ Python and SQL for data manipulation and transformation.
- Collaborate with cross-functional teams and ensure data quality.
- Troubleshoot issues and optimize performance of data processes.
Required Skills and Technologies
- GCP expertise including BigQuery, Cloud Storage, and Dataflow.
- Proficiency in PySpark and Python programming.
- Experience with data modeling, ETL, and SQL.
- Familiarity with Java/Kotlin, Shell scripting, and Docker.
- Understanding of big data principles and distributed computing.
Key skills/competency
- ETL
- GCP
- PySpark
- Data Pipelines
- SQL
- Data Modeling
- Python
- Java
- Cloud Storage
- Collaboration
About NTT DATA
NTT DATA is a global innovator with $30 billion in revenue, serving 75% of the Fortune Global 100. The company is known for its extensive expertise in business and technology consulting, digital and AI infrastructure, and a robust global presence in over 50 countries. Flexibility in work arrangements is offered based on client needs.
How to Get Hired at NTT DATA
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant ETL, GCP, and PySpark skills.
- Emphasize technical expertise: Detail your experience with data pipelines and cloud services.
- Leverage LinkedIn: Connect with NTT DATA recruiters and alumni.
- Prepare for interviews: Practice explaining complex system designs and data processes.
📝 Interview Preparation Advice
Technical Preparation
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Review GCP core services and functions.
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Practice PySpark transformation coding challenges.
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Study ETL design and data modeling techniques.
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Brush up on SQL and Python scripting basics.
Behavioral Questions
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Describe a challenging team project.
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Explain your problem-solving process.
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Discuss managing deadlines in projects.
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Share a conflict resolution experience.