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Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities Bachelors/Masters/Computer Science/Equivalent engineering Previous Work Experience: 3-7 years (Bachelor Degree holders) In-depth experience with various AWS data services, including Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, and Amazon EMR, SQS, SNS, Step Functions, Event Bridge. Ability to design, implement, and maintain scalable data pipelines using AWS services. Strong proficiency in big data technologies such as Apache Spark and Apache Hadoop for processing and analyzing large datasets. Hands-on experience with database management systems such as Amazon RDS, DynamoDB, and others. Good knowledge in AWS OpenSearch. Experience in data ingestion services like AWS AppFlow, DMS, AWS Glue etc. Hands on experience on developing REST API’s using AWS API Gateway. Experience in real time and batch data processing in AWS environment utilizing services like Kinesis firehose, AWS Glue, AWS Lambda etc. Proficiency in programming languages such as Python, PySpark for building data applications and ETL processes. Strong scripting skills for automation and orchestration of data workflows. Solid understanding of data warehousing concepts and best practices. Experience in designing and managing data warehouses on AWS Redshift or similar platforms. Proven experience in designing and implementing Extract, Transform, Load (ETL) processes. Knowledge of AWS security best practices and the ability to implement secure data solutions. Knowledge of monitoring logs, create alerts, dashboards in AWS CloudWatch. Understanding of version control systems, such as Git. Nice To Have Skills Experience with Agile and DevOps concepts. Understanding of networking principles, including VPC design, subnets, and security groups. Experience with containerization tools such as Docker and orchestration tools like Kubernetes. Ability to deploy and manage data applications using containerized solutions. Familiarity with integrating machine learning models into data pipelines. Knowledge of AWS SageMaker or other machine learning platforms. Experience in AWS Bedrock for GEN AI integration Knowledge of monitoring tools for tracking the performance and health of data systems. Ability to optimize and fine-tune data pipelines for efficiency. Experience in AWS services like: Code Pipeline, Code Commit, Code Deploy, Code Build, Cloud Formation. Mandatory Skill Sets AWS Data engineer Preferred Skill Sets AWS Data engineer Years Of Experience Required 4-10 Education Qualification Btech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AWS Devops Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less
