{"id":4149883,"url":"https://alion.io/job/pwc-fabric-pyspark-sql-manager","title":"Fabric + PySpark + SQL Manager","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":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-12T08:35:15Z","employer_posted_date":null,"last_verified_at":"2026-11-12T08:35:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The Opportunity\nJoin our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You'll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We'll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.\n\nAs a Fabric + PySpark + SQL Manager, you will lead the charge in transforming data into actionable insights within our Data and Analytics Engineering team. You will be at the forefront of client support, utilizing your skills in data engineering to drive innovation and efficiency. Within our Cloud Engineering, Data & Analytics network, you will play a pivotal role in advancing data modernization initiatives, leveraging cutting-edge technologies to deliver impactful solutions.\n\nAs a Manager, you will inspire and develop your team, fostering a culture of growth and excellence. You will be accountable for strategic planning and mentoring junior staff, confirming project success and maintaining standards. Your role will involve analyzing complex problems, identifying opportunities, and embracing technology to enhance delivery. You will articulate our purpose and values, leading with integrity and authenticity.\n\nIn this role at PwC Acceleration Center India, you will collaborate with multidisciplinary teams to deliver exceptional client service, driving continuous improvement and innovation. Your leadership will be instrumental in navigating ambiguity and cultivating meaningful client relationships, contributing to the firm's broader business strategies.\n\nResponsibilities:\nLeading data engineering projects and managing client expectations effectively\nGuiding teams in the strategic planning and execution of data modernization initiatives\nUtilizing technical proficiency in Apache Hadoop, Apache Airflow, and Databricks to enhance data processing and analytics capabilities\nBuilding and maintaining scalable data pipelines and data integration solutions using Azure Data Factory and Snowflake\nDeveloping and overseeing the deployment of data architecture and data modeling strategies\nPromoting the use of innovative technologies and leading practices across data engineering teams\nValidating data quality, security, and compliance within data frameworks\nIdentifying opportunities for optimizing data infrastructure and improving data utilization\nCoaching and mentoring junior staff to develop their skills in data engineering and analytics\n\nWhat You Must Have:\nAt least a Bachelor's degree\nAt least 8+ years of experience\nOral and written proficiency in English required\n\nWhat Sets You Apart:\nPreference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics\nDemonstrating proficiency in Amazon Web Services (AWS) and Microsoft Azure Databricks\nUtilizing Apache Hadoop and Apache Airflow for data engineering projects\nExcelling in data architecture development and data integration strategies\nManaging data warehousing solutions with Snowflake and Databricks platforms\nLeading teams in agile scalability and data transformation initiatives\nEmbracing change and fostering innovation in data modernization efforts\nSkills\nAWS, Airflow, Databricks, Hadoop, 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