At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable productive data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Responsibilities
- Working knowledge on big data technologies , Cloud AWS
- Excellent working knowledge on SQL
- Proficient with spark and any one or both programming language e.g. Scala and/or Python
- Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog
- Experience with snowflake will be a big positive
- Experience with CI/CD framework implementation in conjunction with any popular code repository like Github
- Education qualification: B.Tech / M.Tech / M.E / MCA/B.E
- Degrees/Field of Study required: Bachelor of Technology
Required Skills
- Microsoft Azure
Optional Skills
- Amazon Web Services (AWS)
- Apache Airflow
- Databricks Unified Data Analytics Platform
- Data Engineering
- Data Lake
- Data Modeling
- Data Pipeline
- Azure Data Factory
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 IN_Senior Associate_ Azure_Data and Analytics_Advisory_Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru
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