data engineer for ETF data

HireHi; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Competitive B2B contract

Growth opportunities

Influence live projects

Collaboration with tech & finance

Team-building events

Job summary

ETFBOOK ищет опытного инженера по данным для руководства проектами обработки данных и разработки пайплайнов. Вы будете сотрудничать с командами анализа, данных, продукта и инженерии, чтобы строить масштабируемые решения.

Требуется 8+ лет опыта, знание Spark/Databricks/dbt/Snowflake, архитектура данных, управление данными и наставничество. Работа предполагает контракт B2B и возможности роста в стартапе.

Qualifications

• 8+ лет опыта в Data Engineering.
• Опыт с Spark/Databricks/dbt/Snowflake.
• Опыт разработки масштабной архитектуры данных и пайплайнов.

Responsibilities

• Ведение сложных проектов по обработке данных и пайплайнам.
• Проектирование масштабируемой и безопасной архитектуры данных.
• Определение стандартов и лучших практик пайплайнов.
• Наставничество младших инженеров и взаимодействие с кросс-функциональными командами.
• Улучшение производительности, надежности, безопасности и затрат на платформу.

Skills

Data Engineering

Apache Spark

Databricks

dbt

Snowflake

Python

Java/Scala

C#

Delta Lake

HDFS

Data governance

Mentoring

Stakeholder management

English B2

ETF data

Tools

Great Expectations

dbt Tests

Deequ / PyDeequ

Job description

Описание:

ETFBOOK is a Swiss SaaS company providing data, analytics, and custom solutions in the Exchange Traded Funds (ETFs) space. Its platform offers insights through a web application and APIs covering product analysis, fund flow tracking, performance comparisons, and liquidity assessments.

Задачи:

• Lead complex data engineering projects and pipeline development
• Design scalable, secure, and high-performance data architecture
• Define engineering standards and best practices for data pipelines
• Work closely with Data Analytics, Data Science, Product, and engineering teams
• Mentor junior engineers and provide technical guidance
• Drive improvements in performance, reliability, security, and cost optimization of the data platform

Требования:

• 8+ Years of professional experience in Data Engineering
• Excellent knowledge of one or more data processing and analytics frameworks, such as Apache Spark, Databricks, dbt, Snowflake, or similar technologies
• 8+ Years of professional experience with an object-oriented or functional programming language, such as Python, Java/Scala, or C#
• Strong knowledge of big data and distributed storage technologies, such as Delta Lake, Apache Iceberg, HDFS, or similar platforms
• Strong understanding of data governance, security, and performance optimization
• Experience delivering complex data engineering projects
• Strong communication and stakeholder management skills
• Experience leading cross-functional projects
• Ability to mentor junior engineers
• Ability to provide technical leadership and work independently
• English B2
• Будет плюсом: Experience with ETF or financial data products, data modelling and data architecture concepts including database normalization, dimensional modelling (star schema) and/or Data Vault modelling, code quality, data quality and automated testing practices using Great Expectations (GX), dbt Tests, Deequ/PyDeequ or similar frameworks, familiarity with data platform architecture, data governance best practices, security principles and data observability

Условия:

• Contract; B2B contract
• Competitive B2B contract
• Growth opportunities in a fast-paced startup
• Opportunity to influence live projects and deliver measurable results in real-world applications
• Collaboration with professionals in technology and finance, with experimentation and creativity encouraged
• Team-building events at least twice a year in various European locations