Data Engineer (ETL)
bumble
London
1d ago

We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply.

Bumble is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she / her / hers, he / him / his, they / them / theirs, etc).

We strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, and individuals with disabilities to apply.

Bumble is an equal opportunity employer and welcomes everyone to our team. If you need reasonable adjustments at any point in the application or interview process, please let us know.

In your application, please feel free to note which pronouns you use (For example - she / her / hers, he / him / his, they / them / theirs, etc).

INTRO

Bumble is looking for an ETL Data Engineer to participate in the development of the data-collecting and data-processing framework, services and tools for the cross-functional Data Platform department.

Concretely, this means implementing, deploying and maintaining large scale data pipelines as well as internal data tools that help Bumble provide a safe and engaging experience for our users and improve the way Bumble operates.

With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people to find love all over the world! The ideal candidate combines strong business acumen, experience in data pipelines, databases and development best-practices along with a passion for tech.

Key Accountabilities

Working with Big Data : tables containing billions of rows and terabytes of data

Development and improvement of the Bumble ETL framework and data preparation tools for Business Analysis

Development and support of team’s ecosystem : dozens of in-house projects improving our life and help other teams working with our infrastructure

Active participation in development and maintenance of the Data Warehouse and investigation of common data issues

Define the look and feel of Data Platform by developing internal tools

Integrate new technologies into our processes and tools

Required Skills and Knowledge

A knowledge and understanding of SQL language, ability to write complex queries

Data Warehousing and Database basic architecture principles

POSIX / Unix / Linux ecosystem knowledge

Experience with PHP / Python or desire to learn them

We appreciate result-oriented work style, flexibility in choosing tools and technical approaches

Nice to have

Experience with Exasol and / or Snowflake databases

Good knowledge of SQL (window functions, common table expressions, complex grouping etc.)

Google Cloud Platform familiarity

Basic Hadoop familiarity (HDFS / Hive)

About You

You are passionate about technology and not afraid to learn and build complex systems

You are positive and committed with a 'can-do' attitude and a flexible approach

You are the first to notice issues and opportunities and are able to exploit these to your team’s advantage

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