Senior Associate – Cloud Data Engineer (AWS, Azure, GCP)

About the role

PwC is looking for a Senior Associate Cloud Data Engineer to design, build and maintain robust data solutions across multiple cloud platforms. You will transform raw data into actionable insights, enabling clients to make data‑driven decisions and drive business growth.

Key responsibilities

• Design, build and maintain scalable data pipelines on AWS, Azure, Databricks and GCP.
• Implement data ingestion, transformation and warehousing processes.
• Leverage cloud services such as AWS Glue, Athena, Redshift, Azure Data Factory, Synapse, GCP Dataflow, BigQuery, etc., to enhance processing capabilities.
• Optimize Spark and PySpark job performance and ensure efficient execution.

Required profile

• Proven experience as a Cloud Data Engineer with strong data‑engineering fundamentals.
• Hands‑on expertise in data ingestion, transformation and warehousing.
• Deep knowledge of PySpark or Spark and performance tuning.
• Ability to work across AWS, Azure, Databricks and GCP environments.

Required skills

• AWS (Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS)
• Azure (Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus)
• GCP (Dataflow, BigQuery, DataProc, Cloud Functions, Bigtable, Pub/Sub, Data Fusion)
• PySpark / Spark

What we offer

• Inclusive, purpose‑driven work environment with a focus on trust and innovation.
• Flexible benefits, wellbeing programs and mentorship opportunities.
• Opportunities to grow, learn and collaborate across a global network of professionals.