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Chubb Fire & Security
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Bengaluru, Karnataka, India · On-site
Senior
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Full-time
bachelor degree, postgraduate degree
Inclusive benefits, Flexibility programmes, Mentorship, Wellbeing support
Posted 2d ago
Apply by Sep 25
~40 hrs/week
Responsibilities
Design, develop, and maintain scalable data pipelines and architectures while leading a team of data engineers. Collaborate with cross-functional teams to deliver high-quality data solutions and ensure data integrity and security.
Requirements
Requires 5-8 years of experience in data engineering with strong proficiency in Spark, PySpark, and Python. Candidates should have a background in cloud-native platforms like Databricks, Azure, or AWS and possess strong leadership skills.
Full job description
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & Summary
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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*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 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 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, 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, understand and navigate risk, and help our clients gain a competitive edge.
Job Description We are seeking an experienced and SeniorAssociatewith5-8years of experience specializing in data services, data architecture, and data platforms to lead our Dataengineeringengagements. The ideal candidate will have a strong hands-on background in data engineering with specificexpertisein Spark,PySpark, and Python. Additionally, experience with cloud-native data engineering platforms likeDatabricks,Azure DataEngineeringor Amazon Web Services (AWS) is highly desirable.
Responsibilities:
Design, develop, andmaintainscalable data pipelines and architectures using Spark,PySpark, and Python.
Lead and manage a team of data engineers,providingtechnical guidance, mentorship, and performance management.
Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
Ensure data quality, integrity, and security across all data engineering projects.
Implement best practices for data engineering, including code reviews, testing, and documentation.
Stayup-to-datewith the latest industry trends and technologies in data engineering and cloud computing.
Work closely with stakeholders to understand business needs and translate them into technical requirements.
Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.
Required Skills:
Proventrack recordof designing and building scalable data pipelines and architectures.
Hands-on experience with data processing and transformation.
Strong understanding of data warehousing concepts and ETL processes.
Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
Strong leadership and team management skills.
Effective communication skills, both written and verbal.
Preferred Qualifications:
Experience with cloud-native data engineering on platforms such as Databricks and Azure/AWS.
Familiarity with cloud services related to data storage, processing, and analytics (e.g.,BigQuery, Redshift, S3, EMR).
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with data visualization tools and techniques.
Familiarity with machine learning and data science concepts.
Mandatory skill sets:
Strong experience with data engineering technologies, particularlySpark,PySpark, and Python.
preferred skill sets:
Provenexperience in data engineering or related roles.
Industry certifications related to data engineering or cloud platforms are a plus.
Years of experiencerequired:
:5-8Years
Education qualification:
B.Tech/M.Tech/ MCA/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
PySpark
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}
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
August 26, 2026
Related keywords
Data EngineeringSparkPySparkPythonDatabricksAzureAWSData ArchitectureETLData WarehousingCloud ComputingBigQueryRedshiftS3EMRDocker
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
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