
Senior Data Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Ukraine, +3 more states.
• Lead the development of an automated payments reporting and analytics platform.
• Design and construct daily ELT pipelines that integrate payment processors, CRM, and ERP data into a cloud data warehouse.
• Automate financial reporting to the general ledger, ensuring reconciliation with the reporting layer.
• Create and maintain a data-mapping layer that resolves customer identities across various systems.
• Model documented data marts that facilitate drill-down and variance analysis.
• Deliver data models that power KPI and forecasting dashboards.
• Implement monitoring for pipelines, conduct data-quality checks, and establish alerting and auditability.
• Collaborate with BI, finance, and integration partners to define requirements and deliver in phases.
• Over 5 years of professional experience in data engineering.
• Proven track record of managing production data pipelines from start to finish.
• Expert knowledge of SQL, including the ability to perform complex analytical queries, utilize window functions, optimize queries, and model dimensional/star schemas.
• Practical experience with a modern cloud data warehouse, preferably Snowflake or similar platforms like BigQuery, Redshift, or Databricks.
• Strong familiarity with dbt or a comparable ELT transformation framework.
• Experience in building and scheduling ELT/ETL pipelines using Airflow, Dagster, Prefect, or another workflow orchestrator.
• Experience in designing idempotent, re-runnable, incremental loads.
• Experience in implementing data-quality testing, monitoring, and alerting.
• Excellent written and verbal communication skills in English.
• Ability to engage directly with finance and business stakeholders, clearly explaining data-model decisions.
• Experience in the payments, FinTech, or financial services domain is a plus.
• Bonus for experience in payment-processor integration.
• Bonus for experience with BI/analytics teams and self-service reporting tools.
• Bonus for experience in forecasting or cohort-based analytical models.
• Bonus for experience with data contracts and governance.
• Fully remote work options.
• Flexible working hours.
• Consistent workload and reliable income.
• Provision of laptops.
• Access to licensed software.
• Performance and merit reviews.
• Personal development plans available.
• Opportunities for individual learning through the corporate library.
• Support for public speaking.
• Participation in company-wide tech and cultural events.
• Engagement in CSR initiatives.
• HR support provided.
• Referral bonus program available.
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