{"id":4156940,"url":"https://alion.io/job/ust-lead-i-data-engineering-14","title":"Lead I - Data Engineering","company":{"id":1774626,"name":"UST","domain":"ust.com","url":"https://alion.io/company/ust-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":76,"open_postings":97,"ghost_share":0,"stale_share":0.979,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","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"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T10:54:45Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Who we are:\nAt UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact-touching billions of lives in the process. Visit us at .\nSummary:\nUST is looking for an experienced Data Engineer to build and operate reliable, scalable data pipelines and curated datasets supporting enterprise applications, analytics, and AI use cases.\nKey Responsibilities\nDesign, develop, and maintain robust ETL/ELT data pipelines.Build ingestion and transformation workflows using Python and SQL.Develop and maintain curated datasets for applications, analytics, and AI retrieval.Implement data validation, reconciliation, and data quality checks.Build reliable pipelines with safe retry, rerun, and error-handling mechanisms.Manage metadata, data lineage, and traceability across data pipelines.\nWork with AWS S3 and cloud-based data processing solutions.\nUse Amazon Athena for querying and analyzing data where applicable.\nPerform SQL/query optimization for performance and scalability.\nLeverage AI-assisted development practices to improve engineering productivity and quality.\nMandatory Skills\nStrong hands-on experience in Python.\nStrong proficiency in SQL and PostgreSQL.\nStrong experience in ETL/ELT and Data Pipeline development.Hands-on experience with AWS S3.Experience in Cloud Data Engineering.Strong understanding of Data Quality, Validation & Reconciliation.Experience with Metadata Management and Data Lineage.Experience with AI-assisted Development.Good to Have\nAmazon AthenaQuery OptimizationExperience supporting AI/ML or AI retrieval workloadsWhat we believe:\nWe’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do.\nHumility:\nWe will listen, learn, be empathetic and help selflessly in our interactions with everyone.\nHumanity:\nThrough business, we will better the lives of those less fortunate than ourselves.\nIntegrity:\nWe honour our commitments and act with responsibility in all our relationships.\nEqual Employment Opportunity Statement\nUST is an Equal Opportunity Employer. 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