Senior Data Engineer

3 500 – 5 833 $

на 52% выше медианы рынка

≈ 303,4 тыс.–505,6 тыс. ₽

🌍 УдалённоMiddleПолная занятость🌐 Глобал

Платят на 31% выше медианы грейда.

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Наша компания

Senior Data Engineer Project overview

О роли

The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C-level executives and advisors with a unified, reliable reporting layer for strategic decision-making. Posi

Чем предстоит заниматься

Build and maintain scalable data pipelines for ingestion into Snowflake

Develop and manage transformations using dbt, including modeling, testing, and comprehensive documentation

Design and orchestrate complex data workflows using Prefect

Utilize Workato to integrate and normalize data from critical SaaS platforms, including Addepar, NetSuite, Salesforce, Morningstar, and UKG

Design specialized data models tailored for portfolio, client, and financial reporting

Ensure data quality, lineage, and governance best practices while optimizing performance and costs within Snowflake

Partner with Tableau developers and business stakeholders to align technical delivery with reporting needs

Наши требования

5+ years of experience in data engineering with a focus on building modern data platforms

Hands-on experience with Snowflake and dbt, supported by strong SQL skills and advanced data modeling expertise

DBT certification

Proven familiarity with ETL/ELT patterns and API-based ingestion

Practical experience with orchestration tools such as Prefect or Airflow

A solid understanding of financial or wealth management data structures

Experience supporting reporting requirements for Tableau-based visualization layers

Experience within the Wealth Management or Investment Management sector, with specific familiarity handling investment and portfolio-related data

Understanding of regulatory requirements regarding financial data handling and privacy

Background in integrating market data providers such as Bloomberg or Morningstar

Advanced SQL skills and experience with Python for data engineering tasks

DataArt

Serbia

ГрейдMiddle

ЗанятостьПолная занятость

РегионСербия

ФорматУдалённо

ИсточникСкрыто

Опубликовано9 июля

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