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work Вакансия на FreelanceSpace опубликовано 1 ч назад

Data Developer (AVP)

apartmentNitka Technologies scheduleПолная занятость publicУдалённо badge5+ лет
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Описание вакансии

Data Developer(AVP) в
Уровень дохода не указан
Опыт работы: 3–6 лет
Полная занятость
График: 5/2
Рабочие часы: 8
Формат работы: удалённо

Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan.

We are looking for an experienced Data Developer (AVP) for a long-term project.
The customer is a British multinational universal bank with a 300-year history, operating as a diversified, transatlantic financial institution. It operates in over 50 countries, with a strong focus on the UK and US markets. It offers services across personal, corporate, and investment banking, as well as credit cards and wealth management.

We offer 100% remote, full-time work with a flexible schedule

Main Tasks:

- Design, develop, and maintain data integration pipelines between Salesforce Cloud and enterprise data platforms, leveraging SQL Server, SSIS, and Autosys for orchestration.
- Ensure data quality, governance, and performance optimization across Banking and CRM systems.
- Maintain documentation for lineage, mappings, and operational runbooks.
- Participate in sprint planning, backlog refinement, and daily stand-ups.
- Provide technical estimates and deliver stories aligned with migration and integration goals.
- Implement data quality checks and reconciliation processes for CRM and Banking datasets.

Requirements:
- 5 + years experience in Data engineering and ETL development.
- Strong expertise in SQL Server, SSIS, and Autosys job scheduling.
- Hands-on experience with Salesforce Cloud data models and API integration, design and maintain data pipelines for Salesforce CRM/- UCRM integration with downstream systems.
- Familiarity with Agile delivery and CI/CD practices.
- Experience of managing API-based data extraction and ensure secure handling of sensitive fields (MNPI compliance), conducting performance tuning for SQL queries and SSIS packages.
- Strong spoken English (Intermediate level and higher).

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