Industry/Sector

Specialism

Management Level

Job Description & 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.

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

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 Engineering team you will architect and deliver cloud-based data solutions, achieving performance and scalability. As a Senior Associate, you will mentor junior developers, navigate complex technical challenges, and collaborate with various teams to deliver innovative solutions. This role presents an exciting opportunity to deepen your technical knowledge and enhance your personal brand in a fast-paced environment.

Responsibilities

• Architect and deliver cloud-based data solutions for scalability
• Mentor junior developers to foster their growth and skills
• Navigate complex technical challenges to secure project success
• Collaborate with various teams to deliver innovative solutions
• Enhance technical knowledge in cloud technologies
• Contribute to a fast-paced and dynamic work environment
• Drive continuous improvement in data engineering practices
• Secure peak performance of cloud solutions

What You Must Have

• Bachelor's Degree
• 4 years of experience in data engineering
• Oral and written proficiency in English required

What Sets You Apart

• Bachelor's Degree in Computer Science or related field preferred
• Experience in architecting cloud-based data solutions
• Skilled in AWS cloud technology and services
• Demonstrating hands-on experience with Snowflake utilities
• Utilizing Python or Java for data engineering tasks
• Managing data security and access controls
• Excelling in problem-solving and analytical skills
• Communicating effectively with diverse teams
• Traveling to client locations as needed

Travel Requirements

Job Posting End Date