P
PwC
Senior Data Engineer/Associate - GCP - Snowflake - DBT
Skills
Google Cloud PlatformData EngineeringPostgreSQLMySQLSnowflakeDatabricksData AnalysisAWSdbtApache AirflowComplianceAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
11 September 2026
What they need
Role & responsibilities
Responsibilities
- Developing and implementing data engineering solutions using Snowflake, DBT, and GCP to support client data modernization initiatives
- Managing data pipelines and optimizing database performance through tools like Apache Airflow and Azure Data Factory
- Building scalable data architectures and integrating data from various sources, including Amazon Web Services (AWS) and Databricks Unified Data Analytics Platform
- Conducting data validation and transformation processes to maintain data quality and integrity
- Utilizing analytical thinking to troubleshoot data warehouse issues and enhance data warehouse indexing
- Collaborating with teams to design and execute data strategies that align with business objectives
- Applying dimensional modeling techniques to improve data organization and accessibility
- Leveraging knowledge of database management systems, including MySQL and PostgreSQL, for efficient data storage and retrieval
- Confirming database security best practices to protect sensitive information and maintain compliance
- Guiding junior team members in data engineering practices and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in Snowflake Data Warehouse and Schema
- Utilizing Apache Airflow for data pipeline orchestration
- Leveraging Amazon Web Services (AWS) and Microsoft Azure Databricks
- Developing data architecture and integration strategies
- Excelling in data modeling and dimensional modeling
- Applying analytical thinking to solve complex data challenges
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