Senior Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Develop analytical data products and deliver valuable insights to business stakeholders within leading innovative e-commerce brands.

• Design and implement features for our cloud-based Data Lake and Customer Lifetime Value (CLV) product in an agile, test-driven setting.

• Create schemas, datalakes, and datamarts.

• Construct scalable data-processing pipelines in the cloud using technologies such as Apache Spark, Hive, BigQuery, micro-services, and Kubernetes.

• Utilize Python and SQL to evaluate digital marketing performance.

⛳️ Requirements

• Over 5 years of experience in data engineering and development.

• A strong passion for data and the capability to quickly learn new technologies.

• Successfully earned a degree in computer science, software engineering, applied statistics, or a related field.

• Proficient in Python.

• Ideally knowledgeable in Scala, Ruby, and GoLang.

• Extensive experience with Google Cloud Platform, BigQuery, and SQL.

• Familiarity with big data technologies such as Spark and Hive, as well as event-driven architectures (e.g., Pub/Sub, Kafka).

• Experience with infrastructure-as-code (IaC) tools, such as Terraform, is a plus.

• Knowledgeable in building data foundations, data lakes, and datamarts for use in analytical dashboards.

• Ideally experienced in digital marketing, marketing attribution, and ad platform APIs, such as Google Ads API and Bing API.

• Optional: Knowledge of machine learning, interest in AI, and familiarity with statistical A/B testing and experiment design.

🏝️ Benefits

• We support your personal growth by offering various external and internal training opportunities.

• Opportunities to attend conferences.

• Regular performance appraisals.

• Flexible remote work model that allows you to work from various locations.