Data Engineer

OLX Group

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 like AWS Redshift, Trino (formerly PrestoSQL), Spark, Airflow, and Kinesis streaming
Support teams without data engineers in building decentralised data solutions and product integrations, for example, around DynamoDB
Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation
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
Follow and promote data mesh principles around decentralised data ownership and ‘data as a product’
Enforce privacy and security standards (privacy by design)
Increase data literacy of the engineering organisation by hosting training and mentoring other engineers (both less experienced data engineers and software engineers)

+2 years of 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
Master of SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code
Experience with designing for scale and data growth in terms of storage and performance
Business and product understanding (why over what) and the ability to deal with ambiguity
Consistent track record of successful data projects delivered
Potential to build rock-solid Python applications - writes understandable and maintainable code
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
Experience with analytics and defining metrics
Experience with measuring data quality
Excellent written and verbal proficiency in English