{"id":3387813,"url":"https://alion.io/job/thought-focus-senior-data-engineer-capital-market-domain","title":"Senior Data Engineer - Capital Market Domain","company":{"id":3810738,"name":"Thought Focus","domain":"thoughtfocus.com","url":"https://alion.io/company/thought-focus","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":21000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Incident Management","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MS SQL","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-28T06:57:40Z","employer_posted_date":null,"last_verified_at":"2026-10-28T06:57:40Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"About ThoughtFocus :\n\nThoughtFocus is a global IT services and solutions company with deep capabilities across Data & Analytics, Cloud, Modern Engineering, and Financial Services technology.\n\nHeadquartered in the US with delivery centers in India, we partner with leading enterprises to build scalable, future-ready technology solutions.\n\nOur teams are built on a culture of ownership, expertise, and long-term client partnerships - and talent is at the heart of how we grow.\n\nWork Location : Bangalore.\n\nWork Model : Hybrid.\n\nDomain : Capital Markets | Financial Technology | Data Engineering.\n\nResponsibilities :\n\nData Management & Reporting :\n\n- Design and extend capabilities for the client data warehouses, incorporating Large Language Models (LLMs), machine learning automation, and unstructured data integration.\n\n- Implement and integrate enterprise software solutions, including risk, accounting, and investment pipeline systems.\n\n- Leverage APIs and web services to load and extract data from third-party platforms.\n\n- Develop data analysis and ad hoc reporting packs for front-office and middle-office stakeholders.\n\nProduct Implementation & Development :\n\n- Collaborate with business users - including portfolio managers, traders, operations, analysts, and finance and compliance professionals - to gather technical requirements and deliver solutions using Python, SQL, and vendor dashboarding tools.\n\n- Serve as principal technical business analyst and developer on one or more core system implementations.\n\n- Manage multiple simultaneous large-scale projects, including SaaS implementations, workflow automation, and data warehousing initiatives.\n\n- Uphold a high standard of SDLC practices, with a focus on automated testing and regression management.\n\n- Contribute to and align with the overall vision and culture of the technology team.\n\nOperations :\n\n- Provide L2 support for provisioned applications.\n\n- Ensure the operational stability of data pipelines and reporting infrastructure.\n\n- Automate routine operational tasks using PowerShell, Power Automate, Power BI, and other tooling.\n\n- Maintain robust systems documentation.\n\nTechnology :\n\n- Stay current with technical best practices and emerging tools.\n\n- Execute Major Incident and Crisis Management processes during unexpected issues.\n\n- Support additional core technology projects as needed.\n\nQualifications :\n\n- 10+ years of hands-on experience in enterprise financial technology implementations, including financial data warehouses, custom workflow and reporting development, and data integrations - ideally within the private credit domain.\n\n- Advanced proficiency in MS T-SQL, including stored procedures, functions, and performance/query optimization.\n\n- Experience integrating complex applications via RESTful APIs.\n\n- Experience implementing or configuring Portfolio Management, Order Management, or Investment Book of Record accounting systems.\n\n- Proven ability to develop business-facing dashboards and reports using BI technologies such as Sigma Computing, Power BI, or Tableau.\n\n- Experience configuring and deploying LLMs and AI/ML technologies preferred.\n\n- Advanced knowledge of data warehouse platforms (e.g., Snowflake, Databricks, Amazon Redshift, Azure Synapse) and associated tooling preferred.\n\n- Bachelor's or Master's degree in a relevant technical field.\n\n- Strong knowledge of buy-side financial services technologies, including trading and portfolio management systems (e.g., Allvue/Black Mountain, BlackRock Aladdin).\n\n- Familiarity with alternative asset classes (credit, private equity) and the investment lifecycle.\n\n- Experience with market data platforms such as Bloomberg, S&P Markit, or Refinitiv.\n\n- Knowledge of Arcesium Aquata or similar data warehouse platforms preferred.\n\n- Demonstrated ability to translate business requirements into technical design and deliver end-to-end, from development through user testing and adoption.\n\n- Excellent problem-solving skills with the ability to prioritize multiple time-sensitive projects simultaneously.\n\n- Strong verbal and written communication skills; customer-service-oriented mindset.\n\n- Availability for on-call support outside standard hours for scheduled changes, emergency incident management, and escalated requests.\nSkills\nData Management, Data Engineering, Data Warehousing, Data Integration, T-SQL, Power BI, Tableau, LLM, Snowflake 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