Data Engineer

Responsibilities and duties:

• Design, build, optimize, and maintain scalable data pipelines that support Growth Monetization initiatives.
• Write complex SQL queries to analyze A/B experiment results
• Develop and enhance ETL/ELT workflows for large-scale structured and unstructured datasets.
• Optimize pipeline performance, reliability, scalability, and data quality across distributed systems.
• Work with Big Data technologies and best practices to process high-volume datasets efficiently.
• Build automated monitoring, alerting, and validation frameworks for pipeline health and data integrity.
• Partner with Data Science, Product, Marketing, and Engineering teams to deliver actionable insights and scalable data solutions.

Requirements:

• Strong SQL expertise with the ability to write and optimize complex queries on large datasets.
• Hands-on experience with Big Data technologies such as Hadoop, Hive, Spark, or similar distributed processing frameworks.
• Experience building and optimizing scalable data pipelines in cloud and enterprise environments.
• Proficiency in ETL orchestration and workflow management tools.
• Experience with data quality, pipeline monitoring, and performance tuning.
• Ability to collaborate effectively with technical and non-technical stakeholders in a fast-paced environment.