Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement Level Senior Associate & 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 PWCAt 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 .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 firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Responsibilities:\xc2\xb7 Bachelors/Masters/Computer Science/Equivalent engineering
\xc2\xb7 Previous Work Experience: 3-7 years (Bachelor Degree holders)
\xc2\xb7 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.
\xc2\xb7 Ability to design, implement, and maintain scalable data pipelines using AWS services.
\xc2\xb7 Strong proficiency in big data technologies such as Apache Spark and Apache Hadoop for processing and analyzing large datasets.
\xc2\xb7 Hands-on experience with database management systems such as Amazon RDS, DynamoDB, and others.
\xc2\xb7 Good knowledge in AWS OpenSearch.
\xc2\xb7 Experience in data ingestion services like AWS AppFlow, DMS, AWS Glue etc.
\xc2\xb7 Hands on experience on developing REST APIs using AWS API Gateway.
\xc2\xb7 Experience in real time and batch data processing in AWS environment utilizing services like
Kinesis firehose, AWS Glue, AWS Lambda etc.
\xc2\xb7 Proficiency in programming languages such as Python, PySpark for building data applications and ETL processes.
\xc2\xb7 Strong scripting skills for automation and orchestration of data workflows.
\xc2\xb7 Solid understanding of data warehousing concepts and best practices.
\xc2\xb7 Experience in designing and managing data warehouses on AWS Redshift or similar platforms.
\xc2\xb7 Proven experience in designing and implementing Extract, Transform, Load (ETL) processes.
\xc2\xb7 Knowledge of AWS security best practices and the ability to implement secure data solutions.
\xc2\xb7 Knowledge of monitoring logs, create alerts, dashboards in AWS CloudWatch.
\xc2\xb7 Understanding of version control systems, such as Git.Nice to have skills:
\xc2\xb7 Experience with Agile and DevOps concepts.
\xc2\xb7 Understanding of networking principles, including VPC design, subnets, and security groups.
\xc2\xb7 Experience with containerization tools such as Docker and orchestration tools like Kubernetes.
\xc2\xb7 Ability to deploy and manage data applications using containerized solutions.
\xc2\xb7 Familiarity with integrating machine learning models into data pipelines.
\xc2\xb7 Knowledge of AWS SageMaker or other machine learning platforms.
\xc2\xb7 Experience in AWS Bedrock for GEN AI integration
\xc2\xb7 Knowledge of monitoring tools for tracking the performance and health of data systems.
\xc2\xb7 Ability to optimize and fine-tune data pipelines for efficiency.
\xc2\xb7 Experience in AWS services like: Code Pipeline, Code Commit, Code Deploy, Code Build, Cloud Formation.Mandatory skill sets:AWS Data engineerPreferred skill sets:AWS Data engineerYears of experience required:4-10Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills AWS DevopsOptional SkillsDesired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date

PwC