{"id":749313,"url":"https://alion.io/job/merqube-data-engineer-2","title":"Data Engineer","company":{"id":4157,"name":"MerQube","domain":"merqube.com","url":"https://alion.io/company/merqube","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"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":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"BigQuery","optional":true},{"name":"Docker","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true},{"name":"pySpark","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-10T09:51:18Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-08T00:22:51Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":26},"description":"About MerQube\nMerQube is a cutting-edge fintech firm specializing in the development of advanced technology for indexing and rules-based investing. Founded in 2019 by industry veterans and technology experts, MerQube provides a tech-focused alternative in the indexing space, with offices in New York, San Francisco, and London.\nWe design and calculate a wide variety of indices, including thematic, ESG, QIS, and delta one strategies, spanning multiple asset classes such as equities, futures, and options. Powered by modern cloud architecture and advanced index-tracking technology, our platform helps clients bring sophisticated ideas to market quickly, securely, and at scale.\nSummary\nAre you passionate about building robust, scalable data systems that power mission-critical financial platforms? Do you enjoy working hands-on with complex financial datasets, modern data pipelines, and governed data lakes?\nWe are looking for a Data Engineer to join our growing platform engineering team in Bangalore. You will play a key role in modernizing and scaling MerQube’s core market data and index computation platforms by transforming legacy ETL pipeline into standardized cloud-native AWS data platform.\nWhat you’ll work on?\nAs part of the Platform Engineering team, you will design, build, and operate scalable AWS-based data pipelines and a resilient lakehouse platform serving both transactional and analytical workloads. Your work will directly support index construction, analytics, research, and reporting used by global clients.\nCore responsibilities:\nDesign, build, and maintain large-scale ETL/ELT pipelines to ingest, normalize, and curate market, reference, and vendor data\nModernize legacy ETL frameworks into standardized, cloud-native AWS pipelines\nBuild and manage data lakes and analytics-ready datasets using AWS-native services\nClean, standardize, and govern financial instrument identifiers, mappings, corporate actions, and historical data across vendors\nDesign canonical financial data models (facts, dimensions, hierarchies, and mappings)\nImplement data quality checks, lineage, observability, and validation frameworks to ensure accurate index calculations\nDevelop data catalogs and inventory systems to improve data discoverability and governance\nCollaborate closely with Product, Index Operations, Research, and Engineering teams to translate financial logic into scalable data pipelines\nMonitor production data systems, troubleshoot issues, and support on-call rotations as needed\nWhat the position requires\nBachelor’s Degree in Computer Science, Engineering, Mathematics, or equivalent experience\n4-7 years of experience as a Data Engineer, preferably in fintech, trading, market data, or financial analytics domains\nStrong programming skills in Python and solid SQL expertise\nHands-on experience building batch and/or streaming ETL pipelines\nExperience working with large, messy, heterogeneous datasets\nStrong understanding of data modeling concepts (fact/dimension models, canonical models, historical versioning)\nExperience with cloud platforms, preferably AWS (S3, Glue, Lambda, Step Functions, Athena/Redshift, CloudWatch, IAM)\nFamiliarity with data orchestration tools such as Airflow or similar\nPreferred Qualifications\nExperience with Spark or PySpark for large-scale data transformations\nExperience with streaming technologies such as Kafka or similar systems\nExperience working with financial market data providers (e.g., Bloomberg, Refinitiv, Morningstar, Nasdaq)\nKnowledge of financial instruments, corporate actions, and identifiers (ISIN, CUSIP, RIC, etc.)\nExperience building data catalogs, governance layers, or migrating legacy pipelines to cloud-native architectures\nExposure to containerized environments (Docker, Kubernetes) and modern data warehouses (Redshift, Snowflake, BigQuery, etc.)\nWhy join MerQube?\nWe believe in creating an environment where engineers thrive, innovate, and grow. We are proud to offer:\nCompetitive compensation packages and Comprehensive benefits\nFlexible working arrangements\ncollaborative, community-first culture\nStrong Focus on health, wellness, and work-life balance\nOpportunities to make real impact in fast-scaling fintech platform\nEqual Opportunity Employer\nMerQube is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other legally protected characteristic.\nIf you’re passionate about building world-class data systems and want to shape the future of indexing technology, we’d love to have you onboard.","description_format":"text","description_chars":4687,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-11T15:14:15Z"},{"event":"close","at":"2026-09-13T03:45:11Z"},{"event":"reopen","at":"2026-09-22T12:54:54Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.741,"p_room":0.75,"age_days":26,"expected_fill_days":34,"reasons":["conf:0","win:late"],"computed_at":"2026-10-07T05:47:15Z"},"pay":null,"html_url":"https://alion.io/job/merqube-data-engineer-2","json_url":"https://alion.io/job/merqube-data-engineer-2.json","meta":{"generated_at":"2026-10-08T01:54:09Z","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","counted_by":"address","units_charged":1,"used_today":3269,"day_limit":5000,"remaining_today":1731,"minute_limit":60,"resets_at":"2026-10-09T00:00:00Z"}},"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":4157},"rest":"https://alion.io/mcp/rest/get_company?id=4157"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmerqube-data-engineer-2"},{"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%2Fmerqube-data-engineer-2"},{"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%2Fmerqube-data-engineer-2"},{"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/merqube-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmerqube-data-engineer-2"}]}