{"id":3534249,"url":"https://alion.io/job/goldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate","title":"Software Engineering - Data, Lakehouse and AI Data Platform Engineer-Bangalore-Associate","company":{"id":2794,"name":"Goldman Sachs","domain":"goldmansachs.com","url":"https://alion.io/company/goldman-sachs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":85,"open_postings":120,"ghost_share":0,"stale_share":0.592,"repost_share":0.017,"time_to_fill_p50_days":25,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","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":{"min_usd":16000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-30T12:18:23Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T05:25:05Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":5},"description":"At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.\nThis is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.\nRole Summary\nAs a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.\nThe role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.\nKey Responsibilities\nPipeline Engineering\nBuild, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.\nRefactor or modernise existing data flows where needed to improve reliability, performance and maintainability.\nWhere needed, build reusable tooling to improve delivery, consistency and operational support.\nEnsure data pipelines are production-ready, well tested and operationally supportable.\nData Modelling and Curation\nDevelop raw, refined and curated datasets that support analytics, reporting and AI use cases.\nApply sound data modelling principles to represent business entities, relationships and historical change accurately.\nWork with consumers to shape data products that are usable, well documented and aligned to business needs.\nData Quality and Reconciliation\nImplement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.\nUse reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.\nContribute to clear standards for testing, monitoring and issue resolution.\nContribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.\nSkills and Experience\nRequired\n3+ years of experience\nBachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.\nStrong hands-on programming experience in Python or Java.\nGood working knowledge of SQL, including troubleshooting, optimization and data analysis.\nAbility to learn new tools, internal platforms and delivery workflows quickly.\nFamiliarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.\nData Engineering Capability\nUnderstanding of temporal data modelling, including the handling of historical state and change over time.\nKnowledge of schema design, schema evolution and data compatibility considerations.\nUnderstanding of partitioning, clustering and other techniques used to improve data performance at scale.\nAbility to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.\nPractical approach to data quality, reconciliation and root-cause analysis.\nExperience building or supporting production data pipelines in a collaborative engineering environment.\nExperience working with distributed data processing frameworks such as Apache Spark.\nWorking knowledge of common data formats such as JSON, Avro and Parquet.\nStronger ownership of technical design across multiple datasets or pipeline domains.\nExperience guiding implementation standards, code quality and engineering practices within a team.\nAbility to lead delivery for a workstream, manage dependencies and support less experienced engineers.\nTechnology Environment\nThe role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.\nExamples of technologies in scope include:\nData processing and logic: ANSI SQL, Apache Spark, Kafka\nData formats: JSON, Avro, Parquet\nPlatforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ\nEngineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant\nYou will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.\nWhat We Are Looking For\nWe are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.\nStronger candidates will typically demonstrate:\nsound judgement in technical trade-offs\nattention to detail in data correctness and testing\na clear and structured approach to problem solving\nwillingness to work closely with stakeholders and partner teams\nan interest in developing long-term expertise within the firm","description_format":"text","description_chars":6012,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-10-30T17:02:56Z"},{"event":"close","at":"2026-10-31T12:10:43Z"},{"event":"reopen","at":"2026-11-02T10:18:59Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":5,"expected_fill_days":25,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/goldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate","json_url":"https://alion.io/job/goldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate.json","meta":{"generated_at":"2026-11-05T09:08:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11650,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2794},"rest":"https://alion.io/mcp/rest/get_company?id=2794"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgoldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgoldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/goldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoldman-sachs-software-engineering-data-lakehouse-and-ai-data-platform-engineer-bangalore-associate"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3534249}},{"tool":"search_jobs","arguments":{"company":"goldmansachs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3534249},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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