Data Engineer - AWS - Senior Associate

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.

At PwC - AC, as an AWS Senior Developer, the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements and the candidate is responsible for end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS. The candidate should have strong experience in AWS cloud technology. Strong in planning and organization skills. Ability to work as cloud developer/lead on an agile team and provide automated cloud solutions.

Years of Experience: Candidates with 4-8 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 the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using
  
  

Python / Java

• Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design
• Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns
• Should have experience with data security and data access controls and design
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling)
• Proficient in Lambda and Kappa Architectures
• 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 Sagemaker 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
• Experience in one of the flow tools like Airflow, Nifi or Luigi
• 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
• Strong understanding of Cloud data migration processes, methods and project lifecycle
• Good analytical & problem-solving skills
• Good communication and presentation skills
  
  

Desired Knowledge / Skills

• Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming
• Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Knowledge in Python
• Worked in Offshore / Onsite Engagements
• Experience in one of the flow tools like Airflow, Nifi or Luigi
• Experience in AWS services like STEP & Lambda
  
  

Professional And Educational Background

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you will architect and deliver innovative cloud data solutions that drive business transformation. As a Senior Associate you will analyze complex problems, mentor junior team members, and maintain standards while building meaningful client relationships. This role offers the chance to deepen your technical knowledge in AWS technologies and work collaboratively on projects that shape the future of data engineering.

Responsibilities

• Architect and deliver innovative cloud data solutions
• Analyze complex problems to inform project direction
• Mentor junior team members to develop their capabilities
• Maintain elevated standards while building client relationships
• Collaborate on cutting-edge projects in data engineering
• Enhance technical knowledge in AWS technologies
• Contribute to a collaborative and dynamic work environment
• Drive business transformation through innovative solutions
  
  

What You Must Have

• Bachelors Degree
• 4 years of experience in data engineering
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Bachelors Degree in Computer Science preferred
• Experience in architecting scalable cloud-based solutions
• Skilled in AWS cloud technology and services
• Hands-on experience with Snowflake and ETL data pipelines
• Demonstrating planning and organization skills
• Excelling in troubleshooting and performance tuning
• Knowledge of Big Data frameworks and technologies
• Experience in application DevOps tools and CI/CD frameworks
• Additional Information: Travel to client locations may be required

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