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 perks 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 Key Responsibilities o Designs implements and maintains reliable and scalable data infrastructure on Azure o Writes deploys and maintains software to build integrate manage maintain and quality-assure data oDevelops and delivers large-scale data ingestion data processing and data transformation projects on the Azure cloud o Mentors and shares knowledge with the team to provide design reviews discussions and prototypes o Works with customers to deploy manage and audit standard processes for cloud products o Adheres to and advocates for software data engineering standard processes e g Data Engineering pipelines unit testing monitoring alerting source control code review documentation o Deploys secure and well-tested software that meets privacy and compliance requirements develops maintains and improves CI CD pipeline o Part of a cross-disciplinary team working closely with other data engineers Architects software engineers data scientists data managers and business partners in a Scrum Agile setup Job Requirements Education Bachelor or higher degree in computer science Engineering Information Systems or other quantitative fields Experience 1 Years of experience 3to 12 years relevant experience 2 Deep and hands-on experience building productionizing maintaining and documenting reliable and scalable data infrastructure and data products in complex environments 3 Hands on experience with b Configuring Delta Lake on Azure Databricks

- good to have c Languages SQL pyspark python
- must d Cloud platforms Azure
- must e Azure Data Factory must Azure Data Lake must Azure SQL DB must Synapse must SQL Pools must Databricks good to have f Building data solutions in Azure incl data distributions and partitions scalability cost-management disaster recovery and high availability g Azure Devops or similar tools for source control building CI CD pipelines




- good to have 4 Experience in implementing large-scale distributed systems 5 Customer management and front-ending and ability to lead large organizations through influence Desirable Criteria o Strong customer management- own the delivery for Data track with customer stakeholders o Continuous learning and improvement attitude Key Behaviors o Empathetic Cares about our people our community and our planet o Curious Seeks to explore and excel o Creative Imagines the extraordinary o Inclusive Brings out the best in each other Mandatory skill sets Must have knowledge skills and experiences Azure data lake ADF spark SQL pyspark spark-SQL Preferred skill sets Good to have knowledge skills and experiences Cosmos DB Data modeling Databricks Depth Candidate should have in-depth hands-on experience w r t end to end solution designing in Azure data lake ADF pipeline development and debugging various file formats Synapse and Databricks with excellent coding skills in PySpark and SQL with logic building capabilities He she should have sound knowledge of optimizing workloads Years of experience required 3 to 12 years relevant experience 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 Master of Business Administration Master of Engineering Degrees Field of Study preferred Certifications if blank certifications not specified Required Skills Microsoft Azure 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 Azure Data Engineer Data And Analytics Advisory Gurgaon (Gurugram)
🏢 PwC
📍 Gurugram