Operate Services - Data Architect - Manager

Job Description

DescriptionLine of ServiceInternal Firm ServicesIndustry/SectorNot ApplicableSpecialismManaged ServicesManagement LevelManagerJob Description & SummaryA career in Client Implementation and Execution, within Client Service Support services, will provide you with the opportunity to help our clients transform their customer service and engagements from cost centres into revenue generating businesses across all PwC lines of service. In joining, you ll help clients develop and implement a customer service and engagement strategy that is aligned with their customer experience strategy, enhancing customer engagement while lowering costs, and optimising operations to ensure they are getting the most value possible.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 Manager, youll 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:
• Develop new skills outside of comfort zone.
• Act to resolve issues which prevent the team working effectively.
• Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
• Analyse complex ideas or proposals and build a range of meaningful recommendations.
• Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Address sub-standard work or work that does not meet firms/clients expectations.
• Use data and insights to inform conclusions and support decision-making.
• Develop a point of view on key global trends, and how they impact clients.
• Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
• Simplify complex messages, highlighting and summarising key points.
• Uphold the firms code of ethics and business conduct.
Role description Our data engineers are integral to our recent growth and success within our data management & engineering division. You will be working on high profiled client projects by supporting our engagement teams with a variety of engineering tasks and will be responsible for continuing the success PwC has had in cloud technologies including performing ETL, the creation and maintenance of cloud infrastructure, development of data warehousing and lakes, productionising algorithms, assessing pipelines, and keeping the team at the leading edge of cloud technologies. The Data Engineer will be required to support engagement teams with a number of tasks, which are supported through various data collection, interrogation and visualization activities. As a Manager you will be able to resolve unusual and nonstandard problems and issues; you are aware of alternative options and approaches to situations, can guide and advise others in this skill and are able to look ahead and anticipate. You display extensive practical experience and applied knowledge of the subject in a wide range of work situations. You are seen as a role model for others and people will seek your advice. As a manager, it is highly likely that you will be involved in coaching or mentoring activities related to this skill.Work Location: Bangalore Requirements:
• A solid technical background with demonstrable data engineering skills gained in a practical environment.
• Had demonstrable success within a range of complex project environments and sectors.
• A proven ability to integrate well into a team and build relationships with key stakeholders.
• Ability to work as part of a larger team and take responsibility for the work you deliver.
• Strong verbal and written communication skills.
• Is adaptable and open minded to deal with changing business needs.
• Is open to pursuing professional qualifications, certifications and training.
• Is technically minded to create innovative solutions to complex problems.
• Proven analytical and skeptical mindset with an ability to develop solutions to technical problems
• Is curious to challenge the status quo and push the boundaries of technology.
• Can work across a wide range of tasks at one time and work to deadlines.
Those with only theoretical viewpoints in Data Engineering in cloud technologies will not be considered. Responsibilities:
• Designing and implementing extract, transform and load (ETL) pipelines to enable our projects (including those from 3rd party sources and APIs)
• Designing and implementing data models across the different initiatives in the team
• Architecting and designing technical solutions based on industry standards using IaaS, PaaS and SaaS capabilities.
• Identifying and patching issues and bugs identified in the pipeline/architecture
• Resolving issues regarding data quality, cleansing, integration and migration
• Working as part of a data specialist team to deliver quality service to engagement client
• Providing access and identity management to onboard new customers onto the pre-existing platform
• Communicating with key stakeholders to define data requirements to support business issues / queries, including collecting, analyzing, interpreting, and translating the result to non-technical stakeholders
Essential requirements
• More than 8 years experience in a data engineering role accompanied with demonstrable knowledge and/or certificates.
• Experience across data engineering disciplines including data governance, quality, migration, modeling, pipelining and warehousing
• Strong understanding in big data and distribution architecture.
• Experience working with Hadoop/Spark.
• Experience with Azure Data Factory, Databricks and Synapse or comparable.
• Experience with Azure Data Lakes and Data Warehousing or comparable.
• Advanced working knowledge of SQL.
• Fluency in Python, PySpark or R
• Significant practical experience working with cloud platforms (Azure strongly preferred)
• Experience in building and maintaining data pipelines and architecture
• Experience with both PaaS (Platform-as-a-Service) and IaaS (Infrastructure as a Service)
• Understanding of cloud native application, micro-services, containers, Kubernetes and related cloud infrastructure and architecture
Additional skills / experience that will be beneficial
• Experience in Azure DevOps (CI/CD).
• Experience with noSQL databases.
• Experience with Graph Databases.
• Experience working with the Microsoft Azure cloud-based ecosystem.
• Experience working with Agile methodologies.
• BPSS or SC security clearances are desirable.
• Undergraduate degree (e.g. BSc, BA).
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 SkillsOptional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship NoGovernment Clearance Required NoJob Posting End DateDecember 31, 2022 ,

Keyskills :
data modelingrole modelerwininformaticacode of ethicsunixbig data