Data Engineer-AWS Snowflake - Associate 2

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.

Years of Experience: Candidates with 2+ years of hands-on experience

Position Requirements

Must Have:

• Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions
• Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS
• Proficient in Lambda or Kappa Architectures
• Should be aware of Data Management concepts and Data Modelling
• Strong AWS hands-on expertise with a programming background preferably Python/Scala
• Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
• Strong experience in AWS compute services like AWS EMR, Glue and storage services like S3, Redshift & Dynamodb
• Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK
• Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming
• Strong understanding of DBT ELT Tool, and usage of DBT macros etc
• Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
• Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules
• Good knowledge in AWS Security and AWS Key management
• Strong understanding of Cloud data migration processes, methods and project lifecycle
• Good analytical & problem-solving skills
• Good communication and presentation skills