Line of Service Advisory Industry Sector Not Applicable Specialism Data Analytics AI 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 decision-making and driving business growth In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable productive 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 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 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 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 Responsibilities Design develop and maintain robust data pipelines using AWS services such as Glue Lambda Redshift and S3 Implement ETL ELT processes using PySpark and Airflow to ingest transform and load data from various sources including IoT devices and energy systems Collaborate with cross-functional teams to integrate data from power distribution control systems and monitoring platforms Ensure data quality integrity and security across all data platforms Optimize data workflows for performance scalability and cost-efficiency Support real-time and batch data processing for analytics and reporting on energy usage system health and predictive maintenance Maintain documentation for data architecture processes and best practices Mandatory skill sets AI ML NLP and Generative AI models Preferred skill sets Azure Google Cloud Years of experience required 3-5 Years Education qualification Advanced degree Master s or Ph D in Computer Science Artificial Intelligence Data Science or related discipline Education if blank degree and or field of study not specified Degrees Field of Study required Master Degree Bachelor Degree Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills DevOps Engineering Optional Skills 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 Desired Languages If blank desired languages not specified Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date

📌 In Senior Associate Aws Devops- Data And Analytics Advisory Pan India (Bengaluru)
🏢 PwC
📍 Bengaluru