5 часов назад
Data Engineer III (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer III (Fintech) (Python/SQL): Building data pipelines, dashboards, and reporting solutions for investment lifecycle analytics with an accent on data processing, business metrics, and data quality. Focus on analyzing platform performance, translating requirements into actionable insights, and improving reporting workflows across data platforms.
Location: Office-based in Noida, India
Company
provides a SaaS platform that automates the investment lifecycle, including portfolio management, reporting, data aggregation, reconciliation, accounting, compliance, risk, and order management.
What you will do
- Analyze business and platform performance metrics to identify trends, risks, and opportunities.
- Build and maintain data pipelines supporting dashboards, reports, and analytical tools.
- Use Python and SQL to extract, clean, transform, and analyze data from multiple sources.
- Develop and maintain BI dashboards and reports using tools such as Power BI and Tableau.
- Collaborate with Business Analysts, Product Owners, and cross-functional teams to translate reporting needs into actionable analysis.
- Identify data quality issues, document metric definitions and reporting logic, and improve analytical workflows.
Requirements
- Strong hands-on proficiency in Python for data processing, analysis, and automation.
- Proficiency in SQL and knowledge of data platforms such as Snowflake, Databricks, or Redshift.
- Experience with BI dashboards, data visualization, and analytics reporting.
- Experience building or contributing to data pipelines that support analytics and reporting.
- Strong analytical and problem-solving skills, with familiarity with data governance and data quality practices.
- Degree in Computer Science, Data Analytics, Statistics, or a related field, plus 3–7 years of relevant experience.
Nice to have
- Finance industry experience.
- Experience with ETL technologies such as DBT, Fivetran, ADF, or SSIS.
- Exposure to GenAI and LLM technologies, including prompt engineering, LLM-based data processing, or RAG pipelines.
Culture & Benefits
- Work with cross-functional teams on business and platform data.
- Contribute to a global SaaS platform used by insurers, asset managers, corporations, and governments.
- Support data-driven decision-making across the investment lifecycle.
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