Job Summary

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Senior Associate

& Summary: 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 efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

&

Summary: A career within . A career within Data and Analytics services will provide you with the prospect to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

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

Mandatory Skill Sets

- Big Data
- AWS
- SQL
- Python/Scala
- Spark
- S3
- Glue
- EMR
- Aurora PostGres
- Lambda
- Kinesis
- kafka
- Airflow
- DBT
- Flink
- Apache Iceberg
- Datadog
- Scala
- Python
- NIFI

Preferred Skill Sets

- Snowflake

Experience

Years of experience required: 5-8yrs

Education

Education qualification: B.Tech / M.Tech / M.E / MCA/B.E Degrees/Field of Study required: Bachelor of Technology

Certifications

Required Skills

- Microsoft Azure

Optional Skills

- Accepting Feedback
- Active Listening
- Agile Scalability
- Amazon Web Services (AWS)
- Analytical Thinking
- Apache Airflow
- Apache Hadoop
- Azure Data Factory
- Communication
- Creativity
- Data Anonymization
- Data Architecture Development
- Database Administration
- Database Management System (DBMS)
- Database Optimization
- Database Security Best Practices
- Databricks Unified Data Analytics Platform
- Data Engineering
- Data Engineering Platforms
- Data Infrastructure
- Data Integration
- Data Lake
- Data Modeling
- Data Pipeline

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