{"id":2918266,"url":"https://alion.io/job/genpact-lead-data-engineer-data-engineering-4c-24","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":"B","score":82,"open_postings":192,"ghost_share":0.057,"stale_share":0.5,"repost_share":0.12,"time_to_fill_p50_days":27,"computed_at":"2026-10-23T05:54:15Z"}},"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Collibra","optional":true},{"name":"Great Expectations","optional":true},{"name":"Informatica","optional":true},{"name":"Oracle","optional":true}],"status":"closed","first_seen_at":"2026-10-20T11:13:19Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T15:37:09Z","board_verified":false,"closed_at":"2026-10-21T15:37:09Z","days_open":1,"trust":{"level":"not_scored","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\nWe are seeking a skilled Data Quality Engineer to design, build, and operationalize a Data Quality Factory - a standardized, scalable framework for profiling, validating, monitoring, and remediating data quality issues across enterprise data platforms. The ideal candidate will bring hands-on expertise across Azure AI Foundry, Python, SQL, Databricks, and Snowflake, and will play a key role in embedding automated data quality checks, rules, and dashboards into modern data pipelines.\nKey Responsibilities\nDesign and implement a reusable Data Quality Factory framework covering profiling, rule-based validation, anomaly detection, and reconciliation across source and target systems.\nBuild and maintain data quality rules, scorecards, and dashboards to track completeness, accuracy, consistency, timeliness, and uniqueness metrics.\nDevelop and deploy data quality pipelines using Databricks (PySpark/Spark SQL) and Snowflake (SQL, Snowpark) for large-scale data validation.\nLeverage Azure AI Foundry to build and integrate AI/ML-assisted data quality checks (e.g., anomaly detection, intelligent rule suggestions, GenAI-based DQ remediation).\nWrite efficient, production-grade Python and SQL scripts for automated data profiling, cleansing, and exception handling.\nIntegrate data quality checks into CI/CD pipelines and orchestration tools to enable automated, scheduled DQ runs.\nCollaborate with data engineering, governance, and business teams to define DQ rules, thresholds, and remediation workflows.\nPerform root cause analysis on data quality issues and drive resolution with upstream data owners.\nDocument data quality standards, metadata, and lineage to support data governance initiatives.\nSupport audit and compliance requirements by maintaining data quality logs, exception reports, and control evidence.\nRequired Skills\nAzure AI Foundry - hands-on experience building/deploying AI-assisted solutions or agents.\nPython - strong programming skills for data validation, automation, and scripting.\nSQL - advanced query writing, performance tuning, and complex data validation logic.\nDatabricks - experience with Delta Lake, notebooks, and job orchestration.\nSnowflake - experience with Snowflake SQL, Snowpark, warehouses, and data sharing.\nStrong understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity, uniqueness).\nFamiliarity with data governance, data cataloguing, and metadata management concepts.\nExperience integrating DQ frameworks with CI/CD and orchestration tools (e.g., Airflow, ADF, DevOps pipelines).\nGood to Have\nExperience with data quality tools (e.g., Great Expectations, Collibra, Informatica DQ, Ataccama).\nExposure to Azure Data Factory, Azure Synapse, or other Azure data services.\nKnowledge of data lineage and cataloguing tools.\nExperience working in regulated industries (finance, healthcare, insurance) with strict data quality/compliance needs.\nQualifications\nBachelor's/master’s degree in computer science, Information Systems, Engineering, or related field.\n[4-6] of experience in data engineering / data quality roles.\nRelevant certifications (Databricks, Snowflake, Azure) are a plus.\nSoft Skills\nStrong analytical and problem-solving mindset.\nAbility to work with cross-functional teams (engineering, governance, business).\nExcellent communication skills to document and present data quality findings.\nSelf-driven, detail-oriented, and comfortable working in a fast-paced environment.\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, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data LiteracyLanguage\nEnglishLanguage 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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