AWS Data Engineering - Senior Manager
Description & SummaryA career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.Deal effectively with ambiguous and unstructured problems and situations.Initiate open and candid coaching conversations at all levels.Move easily between big picture thinking and managing relevant detail.Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.Contribute technical knowledge in area of specialism.Contribute to an environment where people and technology thrive together to accomplish more than they could apart.Navigate the complexities of cross-border and/or diverse teams and engagements.Initiate and lead open conversations with teams, clients and stakeholders to build trust.Uphold the firm's code of ethics and business conduct.Experience: 14 -18yrs Minimum Degree Required: Bachelor's degree in Engineering Certification(s) Preferred: Amazon Web Services (AWS) certifications (AWS certified Data Engineer is recommended). Desired SkillsMinimum 4 years’ experience in design and development of data pipelines and processing of data at scale using technologies like EMR, Kinesis, Lambda, Glue, Athena, Redshift, Step Functions.Experience in design and development of applications using Python (must have) or Java. Experience in Big Data technologies and tools such as PySpark/Spark, Hadoop, Hive, Kafka etc.Experience with building data pipelines in streaming and batch mode.Experience in optimizing big data pipelines on AWS.Good understanding of data warehousing concepts and Expert level skills in writing and optimizing SQL.Experience in development using message queues, stream processing, highly available & fault tolerant applicationsMinimum 1 year of experience in using AWS services like EC2, Cloud IAM, VPC, S3 etc. and good understanding of architectural best practices.Proficiency in using SDKs for interacting with native AWS servicesGood understanding of big data design patterns and performance tuning Experience with Git and CI/CD pipelines to deploy cloud applicationsExperienced in roles conducting requirements gathering, writing user stories, creating application design and using design patternsExcellent communication skills with the ability to influence client business and IT teamsExperience with Agile software developmentAbility to work independently and across multiple teams.Education Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications Required SkillsOptional SkillsDesired Languages Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date