OverviewRequired skillsData Engineer / expert Scala / expert Python / good SQL / expertWe are looking for a Data Engineering to join our experienced team at a rapidly growing US AdTech company. Founded by three ex-Googlers, this project provides high-scale Bidder-as-a-Service solutions in advertising technology.As part of our team, you will have the opportunity to work with cutting-edge technologies and contribute to developing innovative solutions in the field.Are you ready to become a part of a stellar team? Let's try!CustomerThe Client is a rapidly growing US AdTech company founded by three ex-Googlers. With a highly technical team and an excellent technological culture,it provides extremely high-scale Bidder-as-a-Service solutions in advertising technology.The company works with global businesses and has raised $28 million, including the most recent Series B raise of $15 million.ProjectAs a Data Engineer, you will be able to work on exciting projects in advertising technology. You will be responsible for the hands-on development, modification, and maintenance of various application components and interfaces.One of the key projects you will be involved in is the building of ETL pipelines using our internal framework. These pipelines play a crucial role in collecting and processing large volumes of data efficiently.The project will require you to work with languages such as Scala, Java, Python, and SQL.RequirementsRequirements- 5-7+ years of hands-on experience in Software development and Big Data- Strong knowledge of algorithms and data structures- Excellent knowledge of Scala (or Java with an interest in switching to Scala)- Production experience with Databricks- Strong skills in SQL and proven experience working with major database platformsWILL BE A PLUSExperience with PythonPersonal Profile- Versatile and inquisitive problem solver- Excellent communication and writing skillsResponsibilitiesResponsibilities- Hands-on experience building ETL pipelines using our internal framework- Modifying existing application code or interfaces and developing new application components- Analyzing requirements, supporting design, developing code, testing, debugging, deploying, and maintaining programs and interfaces.Documentation of the work is essential- Developing and implementing databases, data collection systems, data analytics, and other strategies to optimize statistical efficiency and quality- Working with languages such as Scala, Java, Python, and SQL- Conducting code and design reviews to ensure high product quality- Mentoring and providing guiding colleagues and new team members- Collaborating with Data engineers and Product Managers to prioritize business needs and translate complex product requirements into high-quality cloud-native data solutions- Sharing learnings with wider engineering teams through technical demos
