Not Applicable
Specialism
Data, Analytics & AI
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions
They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems
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
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, pregcy, 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 firm s growth To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations
We are looking for a skilled Cloud Data Engineer with strong expertise in Databricks, Advanced SQL and in Python programming, to join our team in Noida
The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure/AWS/GCP cloud platform You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloudnative tools and technologies
s
Design, develop, and manage scalable and secure data pipelines using Databricks and PySpark
Architect and implement cloudbased data solutions, integrating structured and unstructured data sources Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration Build and optimize ETL workflows and ensure seamless data integration across platforms Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems Troubleshoot performance bottlenecks in data flows and ETL processes Integrate advanced analytics and support BI use cases within the Cloud ecosystem Lead code reviews and ensure adherence to version control practices (eg Git) Contribute to the design and deployment of enterpriselevel data warehousing solutions Stay current with Cloud technologies and Python ecosystem updates to adopt best practices and emerging tools
Mandatory skill sets
Strong SQL skills (MustHave) Databricks (MustHave) Python programming (MustHave) Spark (MustHave) Data modeling (Normalization & Denormalization) Data warehousing and BI tools integration Git (Version Control) Building scalable ETL pipelines
Preferred skill sets
Understanding of OLTP and OLAP environments Experience with Kafka and Hadoop Azure Cloud knowledge Azure DevOps for CI/CD integration Agile delivery methodologies
Years of experience
required
7+ years of overall experience in cloud engineering or data engineering roles, with at least 23 years of handson experience with cloud services
Proven track record of strong Python development with at least 23 years of handson experience
Education qualification
BE/B
Tech/MBA/MCA
Education
Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred
Required Skills
Structured Query Language (SQL)
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}
