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Текст:
Hirify AI/Оригинал
TL;DR
Senior Analytics Engineer (Finance Data): Building trusted financial data products, pipelines, models, reconciliations, and dashboards with an accent on finance automation, data quality, and AI-assisted development. Focus on designing scalable data workflows, resolving complex reconciliation breaks, supporting financial close activities, and improving the traceability and timeliness of financial reporting.
Location: Remote from Brazil, Argentina, Canada, Chile, Colombia, Mexico, or Peru
Company
hirify.global is a global crypto platform offering trading, staking, futures, OTC, and financial infrastructure products for individual and institutional clients.
What you will do
Build and maintain trusted financial data products, scalable pipelines, data models, automated reconciliations, and reporting workflows.
Partner with Finance, Platform Accounting, Data Engineering, Product, and Engineering to translate business needs into reliable data and automation solutions.
Develop dashboards and visualizations that support performance analysis, issue investigation, and decision-making.
Resolve finance data issues and reconciliation breaks, identify root causes, and communicate progress to stakeholders.
Support the design and rollout of a finance data lake with clear definitions, ownership, monitoring, exception handling, and quality checks.
Evaluate AI-assisted automation and other technologies, improving data timeliness and enabling near-real-time insights where useful.
Requirements
7+ years of experience in data analytics and data management within financial services or another regulated industry, working directly with Finance teams.
Strong SQL and Python skills, including production code development, debugging, and maintenance.
Experience with Git, merge requests, code reviews, testing, and technical documentation.
Hands-on experience with dbt, Spark, Airflow, or comparable tools for building and operating pipelines and models.
Direct experience with accounting data, reconciliations, subledgers, cost basis, month-end close, discrepancy investigation, and output validation.
Strong ownership, autonomy, judgment, communication, and cross-functional collaboration skills.
Nice to have
Experience with cryptocurrency transaction data and its impact on financial records and reconciliations.
Experience processing large volumes of financial transactions with distributed frameworks such as Spark or PySpark.
Culture & Benefits
Remote work from the listed countries in the Americas.
Work within a globally distributed organization focused on open financial infrastructure.
AI-assisted tools are used to accelerate development and investigations while keeping financial outputs tested and traceable.
Equal-opportunity hiring with consideration of diverse backgrounds and perspectives.
Hiring process
Applications are accepted on an ongoing basis unless a specific deadline is stated.
Job-related skills or work-style assessments may be included alongside interviews and experience evaluation.
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