IN Senior Associate Cloud Data Engineer

Job Description

Not Applicable Specialism SAP Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At 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 purposeled and valuesdriven 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 about us . Responsibilities Strong handson experience with multi cloud (AWS, Azure, GCP) services such as GCP BigQuery, Dataform AWS Redshift, Proficient in PySpark and SQL for building scalable data processing pipelines Knowledge of utilizing serverless technologies like AWS Lambda, and Google Cloud Functions Experience in orchestration frameworks like Apache Airflow, Kubernetes, and Jenkins to manage and orchestrate data pipelines Experience in developing and optimizing ETL/ELT pipelines and working on cloud data warehouse migration projects. Exposure to clientfacing roles, with strong problemsolving and communication skills. Prior experience in consulting or working in a consulting environment is preferred. Mandatory skill sets (AWS, Azure, GCP) services such as GCP BigQuery, Dataform AWS Redshift, Python Preferred skill sets Devops Years of experience required 5 8 Years Education qualification BE/B.Tech/MBA/MCA/M.Tech Education Degrees/Field of Study required Bachelor of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills AWS Devops Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?