Data Engineer (Digital Marketing sphere)

Company Background

The company is a dynamic player in the advertising landscape, serving as a unifying force across diverse advertising channels such as television, programmatic, and social media. Their comprehensive approach spans a wide array of formats and devices, providing marketers with a seamless and sophisticated platform for media planning. Their technological prowess extends to the convergence of digital and advanced TV, encompassing linear TV, over-the-top streaming, connected TV, and premium digital video. Their expertise empowers advertisers to strategize and execute campaigns across a network of over 150 integrated partners, which includes major social media platforms like Facebook, Instagram, Pinterest, Snapchat, and Twitter. This proficiency has earned the company industry acclaim, as evidenced by the numerous awards they have garnered for their technological innovations.

Project Description

The client's mission is to help brands amplify their stories across Connected TV and all video devices at scale. Through the data-driven, end-to-end platform, our client connects audiences with relevant brand experiences wherever they engage with content.

Technologies

• Java
• Scala
• Spark
• Hadoop

What You'll Do

• Optimize and build data systems;
• Manipulate and process data sets, data systems, and pipe-lines;
• Build and optimize data pipelines, architectures, and data sets;
• Gather and analyze task requirements;
• Design and implement data solutions;

Job Requirements

• 5+ years' experience working as a Data Engineer;
• SQL knowledge and experience working with relational databases;
• Familiarity with a variety of databases and algorithms;
• Experience building and optimizing data pipelines, architectures, and data sets;
• Experience in performing root cause analyses on internal and external data and processes;
• Analytical skills related to working with unstructured datasets;
• Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management;
• Experience working with big data tools: Hadoop, Spark, Kafka, Pyspark;
• Experience working with data pipeline and workflow management tools: Airflow, Luigi;
• Experience working with stream-processing systems: Storm, Spark-Streaming;
• Experience working with object-oriented/object function scripting languages: Java, Scala;
• Experience working with AdTech will be a plus;
• Level of English - from Upper-Intermediate (spoken/written);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.