Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism OperationsManagement Level Manager & Summary A career within Technology Strategy services, will provide you with the opportunity to help organisations develop strategies that transform their technology capabilities and solve their most critical challenges. We focus on building technology enabled and agile operating models, planning their new enterprise architecture into a differentiating capability system that helps them win in the market, leveraging digital analytics to enhance the customer experience and optimising business operations, and using modern management techniques such as robotic process automation and next generation sourcing strategies to help our clients get fit for growth.*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. " & 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.Responsibilities:

• Lead, mentor, and develop a team of data engineers focused on building and maintaining data pipelines in GCP.
• Manage the end-to-end delivery of data solutions on GCP, from data ingestion to processing, storage, and visualization.
• Foster a culture of collaboration, continuous learning, and innovation within the team.
• Work closely with cross-functional teams (e.g., data science, analytics, product, and business teams) to understand data requirements and translate them into effective solutions.
• Set clear objectives, manage workloads, and ensure timely delivery of data initiatives.

Data Architecture and Engineering

• Design and implement robust and scalable data architectures on Google Cloud, leveraging GCP services such as BigQuery, Dataflow, Pub/Sub, and Dataproc.
• Build and optimize ETL/ELT pipelines for processing and transforming large datasets.
• Ensure best practices for data governance, quality, security, and compliance are followed in data architecture and engineering.
• Collaborate with DevOps and Cloud Infrastructure teams to deploy and manage infrastructure for data systems.

Technical Strategy and Innovation

• Stay updated with the latest trends and technologies in the data engineering field and Google Cloud Platform, recommending innovative solutions to improve team efficiency and product offerings.
• Continuously improve data workflows, processing speeds, and data storage strategies.
• Provide technical leadership and ensure data engineering practices align with company goals and data-driven initiatives.

Mandatory skill sets:GCP, Big query , Data ProcPreferred skill sets:GCP, Big query , Data Proc, AirflowYears of experience required:7-12Education qualification:B.Tech / M.Tech / MBA / MCAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Air Flow MonitorsOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more}Desired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date

PwC