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Data Specialist for Marketing Solutions
hace 1 mes
About OLX
OLX is a leading online marketplace where people buy and sell goods, find housing, get jobs, and more. Our mission is to build a more sustainable world through trade.
We make it safe, smart, and convenient for our users. Our colleagues around the world help serve millions of people every month through our well-loved consumer brands, including OLX, Otodom, and Property24.
About the Role
We are seeking a highly skilled Data Specialist to join our Marketing Technology team in Lisbon, Berlin, or Poznan. As a domain data engineer, you will be responsible for delivering data via key pipelines that support our marketing teams in making informed decisions on targeting, sizing, budgets, and campaign insights.
You will work closely with product managers, software engineers, product analysts, data scientists, and marketing stakeholders to own and deliver accurate, timely, and insightful data. Your focus will be on building, maintaining, and improving rock-solid data pipelines using various technologies like AWS Redshift, Trino, Python, Spark, Airflow, and Kinesis streaming.
Key Responsibilities
- Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models.
- Build, maintain, and improve rock-solid data pipelines using a broad range of technologies.
- Support teams without data engineers in building decentralized data solutions and product integrations.
- FOLLOW AND PROMOTE DATA MESH PRINCIPLES AROUND DECENTRALIZED DATA OWNERSHIP AND 'DATA AS A PRODUCT.'
- Act as a data ambassador promoting the value of data and our data platform among engineering teams.
- Continuously look for opportunities to integrate data into our end products.
- Cooperate with product teams to streamline source data so that data is cleaner earlier in the process.
- Enforce privacy and security standards (privacy by design).
- Increase data literacy of the engineering organization by hosting trainings and mentoring other engineers.
Requirements
- +2 years experience building complex data pipelines and working with both technical and business stakeholders.
- Entrepreneurial spirit and ability to think creatively; highly driven and self-motivated.
- Good SQL language regardless of the underlying data technology.
- Relevant experience with designing for scale and data growth in terms of storage and performance.
- Potential to build rock-solid Python applications.
- Relevant experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Athena, Spark.
- Knowledge and curiosity about other big data technologies and tools.
Estimated Salary: $120,000 - $180,000 per year
