Senior Data Engineer at Match Group

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Online DatingIndustries

Requirements

Expertise in SQL, Data Modeling, Lakehouse Architecture, and Python
Used Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational database like SQL Server
Capability to drive initiatives and articulate their value to Engineering and other stakeholders
Experience delivering data products from conception to delivery
Good communication skills (written/verbal)
Passionate about designing elegant ETL pipelines
7+ years of professional/industry experience

Responsibilities

Work with Engineering teams to ensure data is flowing accurately through data creation to presentation layers
Become an advocate for the Data Engineering team by developing and championing Data Engineering practices with the team and with the company at large
Improve the Data Engineering stack through containerization, data modeling, developing ETL pipelines, and building scalable/reliable solutions
Work with stakeholders and translate their needs and expectations into action items and deliverables
Lead infrastructure initiatives, from design to implementation to delivery
Support existing on-prem infrastructure and help expand processes into the cloud (AWS/Databricks)

Skills

Key technologies and capabilities for this role

ETLData PipelinesData ArchitectureData EngineeringReportingData Transformation

Questions & Answers

Common questions about this position

Is this a remote position, or do I need to work in the office?

This position is based in the Vancouver, Canada office and follows a hybrid schedule of three days in the office and two days remote each week.

What are the key responsibilities of this Senior Data Engineer role?

The role involves architecting and engineering new data systems and reporting, maintaining existing data systems, implementing critical ETL pipelines, improving the data engineering stack through containerization and data modeling, and leading infrastructure initiatives.

What is the team structure for the MG Core Data team?

The MG Core Data team is a service organization that delivers reporting solutions across the entire Match Group enterprise, collaborating with teams in Marketing, Product, Finance, Accounting, and Strategy, while each member holds platform-agnostic knowledge.

What does the company culture emphasize at Match Group?

Match Group emphasizes creating a sense of belonging as the foundation of every team, positioning the role at the crossroads of business and technology to understand their interrelation and provide insights for decision-making.

What skills make a strong candidate for this Senior Data Engineer position?

Strong candidates should have expertise in ETL pipelines, data modeling, containerization, building scalable solutions, and the ability to translate stakeholder needs into deliverables while understanding business impacts of data.

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Dallas, TexasHeadquarters

1986Year Founded

$400MTotal Funding

IPOCompany Stage

Consumer Software, Social ImpactIndustries

1,001-5,000Employees