GCP Cloud Data Engineer - Associate

Mumbai (AC) - Winchester Building

PwC

We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

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.

As part of our Data Engineering team, you will create data pipelines and data structures utilizing modern data technology, engineering process, and languages. You will be responsible for helping organizations migrate and modernize data platforms in support of enterprise analytics, intelligent applications, and machine learning initiatives.

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 an Associate, 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:

  • Invite and give in the moment feedback in a constructive manner.
  • Share and collaborate effectively with others.
  • Identify and make suggestions for improvements when problems and/or opportunities arise.
  • Handle, manipulate and analyse data and information responsibly.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with developments in area of specialism.
  • Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
  • Build and maintain an internal and external network.
  • Seek opportunities to learn about how PwC works as a global network of firms.
  • Uphold the firm's code of ethics and business conduct.

Google Cloud Data Engineer

Experience: Sr. Associate (5+ Years) Associate (3+ years)

Minimum Degree Required: Bachelor's degree in Engineering

Certification(s) Preferred: Google Cloud certifications (Google Cloud Data Engineer is preferred)

A career in our cloud practice, within Cloud and Digital services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google cloud platforms that bring new and innovative services to some of the largest companies. We help our clients adopt the cloud to transform Information Technology, scale and streamline operations and create new cloud based businesses through our strong alliances. You’ll be at the forefront of helping organizations around the globe adopt innovative technology solutions that optimize business processes or enable scalable technology. Our team helps organizations transform their IT infrastructure, modernize applications and data management to help shape the future of business. As part of the team, you’ll focus on the google cloud design, architecture, cloud native application development, application modernization, data warehouse, data management and industry solutions to deliver innovation for our clients.

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.

Responsibilities
PwC Professional skills and responsibilities for this management level include but are not limited to

As a Sr. Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.

  • 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.
  • Analyze 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 firm's/client's 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 summarizing key points.
  • Uphold the firm's code of ethics and business conduct.

Preferred Knowledge/Skills

  • 5+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting
  • Experience in using GCP services to analyze data, build data models and generate visualizations
  • 5+ years of experience in design and development of  large scale data solutions using GCP services like  DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM
  • 3+ year of experience in big data technologies and tools such as  Spark/PySpark, Hadoop, Hive, Kafka
  • Experience building data processing pipelines to integrate large datasets from multiple sources and formats
  • Experience designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
  • Experience in designing and implementing solutions across various Cloud services such as GCE, GKE, cloud run, BigQuery, Dataproc, Dataflow, Dataplex, CloudSQL, Cloudspanner, Looker etc.
  • Experience with building data pipelines in streaming and batch mode
  • Experience with database management, migration and transformation to cloud native DBs like Cloud SQL, Spanner, etc.
  • Implementing cloud data solutions in the context of business applications, cost optimization, client’s strategic needs and future growth goals as it relates to becoming a ‘data driven’ organization
  • Understanding of emerging technologies and latest cloud providers (GCP, Azure & AWS) services & solutions
  • Use an analytical and data driven approach to drive a deep understanding of fast changing business
  • Experience in development using message queues (cloud pub sub), stream processing, highly available and fault tolerant techniques
  • Experience in roles conducting requirements gathering, writing user stories and creating design
  • Expert level skills in writing and optimizing SQL
  • Good understanding of data warehousing concepts, architectural best practices, design patterns and performance tuning
  • Proficiency in using GCP SDKs for interacting with native services
  • Experience with Git and CI/CD pipelines
  • Excellent communication skills with the ability to influence client business and IT teams
  • Ability to work independently and across multiple teams
  • Developing thought leadership materials and being recognized in the Information Technology industry as a credible participant in the digital and cloud dialogue

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

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

March 23, 2024

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Azure Big Data BigQuery Bigtable Business Intelligence CI/CD Data Analytics Dataflow Data management Data pipelines Dataproc Data warehouse Data Warehousing Engineering GCP Git Google Cloud Hadoop Java Kafka Looker Machine Learning Pipelines PySpark Python Spark SQL Streaming

Perks/benefits: Career development

Region: Asia/Pacific
Country: India
Job stats:  25  1  0
Category: Engineering Jobs

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