IN-Senior Associate_Azure Data Enginer_Advisory Corporate_Advisory_Gurgaon

Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismSAPManagement LevelSenior AssociateJob Description & SummaryA 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. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.*Why PWCAt 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…. A career within Data and Analyticsservices will provide you with the opportunity to help organisations uncoverenterprise insights and drive business results using smarter data analytics. We focuson a collection of organisational technology capabilities, including businessintelligence, data management, and data assurance that help our clients driveinnovation, growth, and change within their organisations in order to keep up withthe changing nature of customers and technology. We make impactful decisions bymixing mind and machine to leverage data, understand and navigate risk, and helpour clients gain a competitive edge.

Responsibilities: ● Design, develop, and optimize data pipelines and ETLprocesses using PySpark or Scala to extract,transform, and load large volumes of structured andunstructured data from diverse sources.● Implement data ingestion, processing, and storagesolutions on Azure cloud platform, leveragingservices such as Azure Databricks, Azure Data LakeStorage, and Azure Synapse Analytics.● Develop and maintain data models, schemas, andmetadata to support efficient data access, queryperformance, and analytics requirements.● Monitor pipeline performance, troubleshoot issues,and optimize data processing workflows forscalability, reliability, and cost-effectiveness.● Implement data security and compliance measures toprotect sensitive information and ensure regulatorycompliance.

Requirement● Proven experience as a Data Engineer, with expertisein building and optimizing data pipelines usingPySpark, Scala, and Apache Spark.● Hands-on experience with cloud platforms,particularly Azure, and proficiency in Azure servicessuch as Azure Databricks, Azure Data Lake Storage,Azure Synapse Analytics, and Azure SQL Database.● Strong programming skills in Python and Scala, withexperience in software development, version control,and CI/CD practices.● Familiarity with data warehousing concepts,dimensional modeling, and relational databases (e.g.,SQL Server, PostgreSQL, MySQL).● Experience with big data technologies andframeworks (e.g., Hadoop, Hive, HBase) is a plus.

Mandatory skill sets: Spark, Pyspark, AzurePreferred skill sets: Spark, Pyspark, AzureYears of experience required: 4 - 8Education qualification: B.

Tech / M.

Tech / MBA / MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)Required SkillsPySpark, Python (Programming Language)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment, Performance Management Software {+ 16 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?

NoGovernment Clearance Required?

NoJob Posting End Date