Build analytical data products and provide valuable insights to business stakeholders in innovative leading e-commerce brands
Design and deploy features for our cloud-based Data Lake and our Customer Lifetime Value (CLV) product in an agile, test-driven environment
Design schemas and datalakes and datamarts
Build scalable data-processing pipelines in the cloud using technologies like Apache Spark, Hive, BigQuery, micro-services, Kubernetes
Use Python and SQL to analyze digital marketing performance

5+ years of data engineering and development experience
Passionate about data with a strong ability to learn new technologies
Successfully completed a degree in computer science, software engineering, applied statistics or similar
Proficient in Python and ideally in the following programming languages: Scala, Ruby, GoLang
Expert level experience with Google cloud platform, BigQuery and SQL
Familiarity with big data technologies like Spark and Hive, event-driven architectures (e.g. Pub/sub, Kafka)
Experience with infrastructure-as-Code (IaC, e.g. Terraform) tools is a plus
Familiar with building data foundations, Data lakes and datamarts to be used in analytical dashboards
Ideally, have experience in digital marketing, marketing attribution and ad platforms APIs, e.g. Google ads API and Bing API
Optional: Machine learning, interest in AI, familiar with statistical A/B testing, design of experiments

We encourage your personal development, offering individual external and internal training
Conference visits
Regular appraisals
Remote work model that enables you to blend working from different locations
Scheduled office check-ins if you are located in the Mumbai metropolitan area to foster collaboration and team alignment
Accommodation is provided when working in offices across the globe

Senior Data Engineer

Key skills