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

ETL

Data Pipelines

Data Architecture

Data Engineering

Reporting

Data Transformation

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