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 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 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 chance 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 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 About the Role We are hiring sharp hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms If you love writing clean code solving tough data problems and designing robust data architectures this role is for you What you will do Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments Write optimized complex SQL queries for data transformation and analysis in cloud data warehouses Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows Create and maintain data models in Databricks ensuring data quality and consistency Optimize queries and scripts over large-scale datasets TBs with a focus on performance and cost-efficiency Implement data governance and security best practices in cloud environments Collaborate across teams to translate business requirements into robust technical solutions Mandatory skill sets Must have knowledge skills and experiences 5 years of hands-on experience in Data Engineering Strong command over SQL Python and PySpark for data manipulation and analysis Deep experience with data warehousing concepts and implementation in cloud environments Azure AWS Proficiency in data modeling techniques for cloud-based systems Databricks Snowflake Solid understanding of ETL ELT processes and best practices in cloud architectures Experience with dimensional modeling star schemas and data mart design Strong analytical thinking and problem-solving skills Preferred skill sets Good to have knowledge skills and experiences Familiarity with data lake architectures and delta lake concepts Familiarity with Snowflake Databricks Data Warehouse Knowledge of data warehouse migration strategies to cloud Experience with real-time data streaming technologies e g Apache Kafka Azure Event Hubs Exposure to data quality and data governance tools and methodologies Understanding of data virtualization and federated query engines Understanding of performance optimization techniques for cloud-based data warehouses Apache Airflow - Workflow orchestration and scheduling Certifications in Azure or AWS or Databricks Years of experience required Experience 5-8 years Education qualification o BE B Tech ME M Tech MBA MCA 60 above Education if blank degree and or field of study not specified Degrees Field of Study required Bachelor of Engineering MBA Master of Business Administration Bachelor of Technology Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Data Architecture 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 Data Architect Data And Analytics Advisory Bangalore (Bengaluru)
🏢 PwC
📍 Bengaluru