Senior Data Engineer (Cupid Media)

2 Weeks ago • 3-5 Years

About the job

Summary_{By Outscal}

Senior Data Engineer with 3+ years of experience in designing, developing, and maintaining SQL data warehouses, building reports using SSRS, creating dashboards with Superset, and managing data pipelines with Airflow. Strong knowledge of MS SQL, Python, and query optimization is essential.

Social Discovery Group (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.

More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.

SDG invests in social discovery technology startups around the world. Our Investments include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Magnet, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others.

We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.

Our digital nomad team of more than 1200 professionals works all over the world. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms.

Our teams of digital nomads live and work remotely from Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Japan, Australia, Poland, Israel, Turkey, Latvia and many others.

We are looking for an experienced Data Engineer to join one of our core products - Cupid Media.

Your main tasks will be:

Design, develop, and maintain SQL data warehouses, including the creation and optimization of stored procedures.
Build and enhance reports using SSRS and create dynamic dashboards with Superset to deliver actionable insights.
Develop and manage efficient data pipelines using Airflow to ensure smooth data integration and automation.

We expect from you:

3+ years of professional experience as a Data Engineer
Knowledge of MS SQL at the confident level (window functions, subqueries, various joins)
Confident knowledge of Python
Basic query optimization skills;
Experience with Airflow
Nice to have: experience with Google Cloud Platform (BigQuery, Storage, pub/sub)

What do we offer:

REMOTE OPPORTUNITY to work full time;
7 Wellness Days per year (available immediately)
20 Vacation Days per year (available after 3 months probation)
$1000 USD reimbursement for workplace equipment (after 3 months probation)
50% reimbursement of eligible medical bills up to $1000 USD per calendar year (after 3 months probation).

Sounds good? Join us now!