{"id":2700338,"url":"https://alion.io/job/genpact-lead-data-engineer-data-engineering-4c-22","title":"Lead Data Engineer - Data Engineering 4C","company":{"id":3547,"name":"Genpact","domain":"genpact.com","url":"https://alion.io/company/genpact","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":176,"ghost_share":0.017,"stale_share":0.494,"repost_share":0.125,"time_to_fill_p50_days":28,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"DynamoDB","optional":false},{"name":"Edge AI","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Kubernetes","optional":true},{"name":"Oracle","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-16T11:09:43Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T18:32:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Lead Data EngineerReady to turn bold ideas into real-world impact?\nAt Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.\nIf you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. \nGenpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.\nGet to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.\nJob Description\nInviting applications for the role of Principal Consultant- Databricks Lead Developer!\nIn this role, the Databricks Developer is responsible for solving the real world cutting edge problem to meet both functional and non-functional requirements.\nMaintains close awareness of new and emerging technologies and their potential application for service offerings and products.\nWork with architect and lead engineers for solutions to meet functional and non functional requirements.\nDemonstrated knowledge of relevant industry trends and standards.\nDemonstrate strong analytical and technical problem-solving skills.\nMust have experience in Data Engineering domain .\nBachelor’s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline) or equivalent work experience.\nOverall 8+ years of experience in IT\nMaintains close awareness of new and emerging technologies and their potential application for service offerings and products.\nWork with architect and lead engineers for solutions to meet functional and non functional requirements.\nDemonstrated knowledge of relevant industry trends and standards.\nDemonstrate strong analytical and technical problem-solving skills.\nMust have excellent coding skills either Python, Spark / Scala, preferably Python & Spark.\nMust have experience in Data Engineering domain.\nMust have implemented at least 2 project end-to-end in Databricks.\nMust have at least experience on databricks which consists of various components as below  AutoLoader  Delta lake  Unity Catalog  Lakeflow Connect  db API 2.0  Databricks workflows orchestration\nMust be well versed with the Databricks Lakehouse concept and its implementation in enterprise environments.\nMust have good understanding to create complex data pipeline\nMust have good knowledge of Data structure & algorithms.\nMust be strong in SQL and sprak-sql.\nMust have strong performance optimization skills to improve efficiency and reduce cost.\nMust have worked on both Batch and streaming data pipeline.\nMust have extensive knowledge of Spark and Hive data processing framework.\nMust have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, CosmosDB/DynamoDB, ASB/SQS, Cloud databases.\nMust be strong in writing unit test case and integration test\nMust have strong communication skills and have worked on the team of size 15 plus\nMust have great attitude towards learning new skills and upskilling the existing skills. Preferred Qualifications\nGood to have Genie One, MosaicAI, DQX, and basic governance knowledge.\nGood to have Databricks SQL Endpoint understanding.\nGood To have CI/CD experience to build the pipeline for Databricks jobs.\nGood to have if worked on migration project to build Unified data platform.\nGood to have knowledge of DBT.\nGood to have knowledge of docker and Kubernetes.\nQualifications\nBachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data ScienceCertifications\nCertified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified Associate Developer for Apache Spark - Databricks AcademyDatabricks Academy, Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracleRequired Skills\nAgile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, People Leadership, Personal Effectiveness, Risk Management, Semiconductors, Snowflake (Platform), Sourcing and Procurement, StorytellingLanguage\nEnglish (Required)Language Proficiency -\nProficient - C2Additional Job Location -\nJob Type\nRegularMaster Skill List -\nData EngineeringRemote Type -\nHybridWork Shift -\nFlex Time (India)Why join Genpact?\nLead AI-powered transformation - Drive innovation and solve real-world business challenges that matter\nMake an impact - Help global enterprises solve business challenges that matter \nAccelerate your career - Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead\nWork with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day \nThrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. 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