۱ روز پیش
استخدام Data Analytics Engineer برای بلوبانک در تهران
مختلف
مقطع تحصیلی اعلام نشده
سابقه دارد (۵ تا ۹ سال)
حقوق توافقی
آقا و خانم
تمام وقت
مشاهده اطلاعات تماس
اطلاعات بیشتر
بلوبانک در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می نماید:
| Data Analytics Engineer | |
| We are looking for a Data Analytics Engineer to join our Data team and help design, build, and maintain high-throughput, scalable data pipelines and streaming infrastructure. The ideal candidate brings deep hands-on experience with modern data stack technologies and can operate independently in a fast-paced environment. As an Analytics Engineer you will architect our analytical data foundation, acting as the bridge between raw infrastructure and data analytics. You will transform complex, high-volume banking data into reliable, governed, and high-performance models. Your focus will be on designing scalable data transformations and structuring business-ready models that turn fragmented datasets into trusted, reusable assets. Your ultimate mission is to empower every data analyst and decision-maker with a consistent single source of truth—driven by standardized definitions and robust logic—across both traditional relational systems and modern large-scale storage environments. |
Job Description |
| Analytical Data Architecture: Design and implement robust data models (facts, dimensions, materialized views) that serve as building blocks for all downstream reporting and analysis. SQL-Driven Transformations: Develop and maintain performant transformation logic that converts raw operational data into business-ready assets, emphasizing code reusability, modularity, maintainability, and efficient execution at scale. Workflow Orchestration & Automation: Build and manage automated data pipelines ensuring timely data delivery, with robust error handling, dependency management, and recovery patterns. Data Quality & Observability: Implement automated validation frameworks to monitor data integrity, freshness, and accuracy, proactively identifying and resolving issues before they impact stakeholders. Semantic Layer Management: Define and govern centralized business logic and metrics within a unified semantic layer. Ensure KPIs mean the same thing across every dashboard and department. Dashboarding & BI Delivery: Design and maintain intuitive, performant dashboards and reports that translate curated data into actionable insights for business stakeholders. Governance & Documentation: Maintain comprehensive data catalogs and lineage documentation, providing transparency into how data is transformed and consumed. |
Responsibilities |
| Experience: 4+ years of experience in one or more of the following: analytics engineering, data engineering, BI development, or highly technical analytics roles. Advanced SQL: Expert-level proficiency including advanced analytical functions, query tuning, and managing complex transformation logic. Python: Ability to write scripts for data transformation, custom automation, data validation, or extending orchestration capabilities. Databases: Hands-on experience with: Row-based databases such as PostgreSQL, including schema modeling and performance tuning via indexing, partitioning, and query optimization Columnar databases such as ClickHouse, including MergeTree family table engines and related performance-oriented features. Workflow Orchestration: Production experience with Apache Airflow (authoring DAGs, managing schedules, troubleshooting complex workflows). BI Tooling: Experience designing and optimizing analytics-ready data for BI platforms such as Metabase, including semantic modeling and materialized views for end-user self-service. Engineering Best Practices: Proficiency with Git for version control and commitment to code reviews and technical documentation. NICE TO HAVE NoSQL & Search: Experience with Elasticsearch and NoSQL databases (MongoDB), including transforming data from these sources. Data Lake: Practical experience with Data Lake architecture, including partitioning strategies, file formats (Parquet), and data layering (Raw, Silver, Gold). FinTech Experience: Background in banking or financial services data models. |
Qualifications |
| Work from home option Flexible working hours Training courses and professional development opportunities Military service project (Limited) Supplemental health insurance Team-building budget Performance-based bonuses Loans Lunch subsidies |
Benefits |
| Gender: Any Seniority Level: Senior Specialist Required Experience Year: 5 year Working days: Saturday to Wednesday |
Description |
متقاضیان واجد شرایط می توانند با کلیک روی لینک تکمیل فرم استخدام، رزومه خود را ارسال نمایند.
اطلاعات تماس
گزارش مشکل آگهی
- ثبتنام برای تکمیل فرم استخدام اینجا کلیک نمایید
- مهلت ۱۴۰۵/۰۵/۲۲
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