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 effective 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 Responsibilities Analyses current business practices processes and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data Analytics Services Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access ingestion data processing data integration data modeling database design implementation data visualization and advanced analytics Engage and collaborate with customers to understand business requirements use cases and translate them into detailed technical specifications Develop best practices including reusable code libraries patterns and consumable frameworks for cloud-based data warehousing and ETL Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and or Azure Databricks Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained Working with other members of the project team to support delivery of additional project components API interfaces Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery DevOps methodology to deliver proof of concept and production implementation in iterative sprints Integrate Databricks with other technologies Ingestion tools Visualization tools Proven experience working as a data engineer Highly proficient in using the spark framework python and or Scala Extensive knowledge of Data Warehousing concepts strategies methodologies Direct experience of building data pipelines using Azure Data Factory and Apache Spark preferably in Databricks Hands on experience designing and delivering solutions using Azure including Azure Storage Azure SQL Data Warehouse Azure Data Lake Azure Cosmos DB Azure Stream Analytics Experience in designing and hands-on development in cloud-based analytics solutions Expert level understanding on Azure Data Factory Azure Synapse Azure SQL Azure Data Lake and Azure App Service is required Designing and building of data pipelines using API ingestion and Streaming ingestion methods Knowledge of Dev-Ops processes including CI CD and Infrastructure as code is essential Thorough understanding of Azure Cloud Infrastructure offerings Strong experience in common data warehouse modelling principles including Kimball Working knowledge of Python is desirable Experience developing security models Databricks Azure Big Data Architecture Certification would be plus Must be team oriented with strong collaboration prioritization and adaptability skills required Mandatory skill sets Azure Databricks Preferred skill sets Azure Databricks Years of experience required 4-8 Years Education qualification BE B Tech MCA M Tech Education if blank degree and or field of study not specified Degrees Field of Study required MBA Master of Business Administration Bachelor of Engineering Bachelor of Technology Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Power BI 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 Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date

📌 In Senior Associate Databricks Data & Analytics Advisory Pan India (Hyderabad)
🏢 PwC
📍 Hyderabad