GCP Cloud Data Engineer - Manager

Google Cloud Data Engineer 

Experience: Manager (8+ 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 Manager, 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 

• 8+ 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 

• 8+ 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 

• 5+ 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. 

• Experience in implementing enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards. 

• 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 

• Experience with Agile software development 

• 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