{"id":3809407,"url":"https://alion.io/job/pwc-in-senior-associate-java-scala-data-engineer-gcc-advisory-mumbai-2","title":"IN-Senior Associate_ Java + Scala Data Engineer__ GCC_ Advisory _Mumbai","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":68,"open_postings":2575,"ghost_share":0.536,"stale_share":0,"repost_share":0.002,"time_to_fill_p50_days":26,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"C++","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true}],"status":"closed","first_seen_at":"2026-11-05T14:23:38Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T23:37:42Z","board_verified":false,"closed_at":"2026-11-07T23:37:42Z","days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":1},"description":"Line of Service\nAdvisoryIndustry/Sector\nNot ApplicableSpecialism\nData, Analytics & AIManagement Level\nSenior AssociateJob Description & Summary\nAt 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.Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.\nWhy PWC\nAt 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.\nAt 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.\nJob Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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.\nResponsibilities:\nAbout the Role: \nWe are seeking an experienced and Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements. The ideal candidate will have a strong hands-on background in data engineering with specific expertise in Spark, PySpark, and Python. Additionally, experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering or Amazon Web Services (AWS) is highly desirable.\nDesign, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python. \nLead and manage a team of data engineers, providing technical guidance, mentorship, and performance management. \nCollaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. \nEnsure data quality, integrity, and security across all data engineering projects. \nImplement best practices for data engineering, including code reviews, testing, and documentation. \nStay up-to-date with the latest industry trends and technologies in data engineering and cloud computing. \nWork closely with stakeholders to understand business needs and translate them into technical requirements. \nManage project timelines, resources, and budgets to ensure successful delivery of data engineering projects. \nRequired Skills:\nProven track record of designing and building scalable data pipelines and architectures. \nHands-on experience with data processing and transformation. \nStrong understanding of data warehousing concepts and ETL processes. \nExcellent problem-solving skills and the ability to troubleshoot complex technical issues. \nStrong leadership and team management skills. \nEffective communication skills, both written and verbal. \nPreferred Qualifications:\nExperience with cloud-native data engineering on platforms such as Databricks and Azure/AWS. \nFamiliarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR). \nKnowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). \nExperience with data visualization tools and techniques. \nFamiliarity with machine learning and data science concepts. \nMandatory skill sets:\nStrong experience with data engineering technologies, 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