Description

Design, build, and maintain scalable data pipelines to support growth monetization initiatives. You will own the development of ETL/ELT workflows, complex SQL queries, and monitoring frameworks for data integrity.

This role is hybrid.

Responsibilities

• Design and optimize scalable data pipelines for large-scale structured and unstructured datasets.
• Write complex SQL queries to analyze A/B experiment results and support business insights.
• Develop and enhance ETL/ELT workflows using Big Data technologies like Hadoop, Hive, and Spark.
• Build automated monitoring, alerting, and validation frameworks to ensure pipeline health and data quality.
• Partner with Data Science, Product, and Engineering teams to deliver actionable data solutions.

Required Skills

• 5+ years of experience in data engineering.
• Strong SQL expertise with the ability to write and optimize complex queries on large datasets.
• Hands-on experience with distributed processing frameworks such as Hadoop, Hive, and Spark.
• Proficiency in building and optimizing scalable data pipelines in cloud and enterprise environments.
• Experience with ETL orchestration and workflow management tools.
• Knowledge of data quality, pipeline monitoring, and performance tuning.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience collaborating with non-technical stakeholders in a fast-paced environment.
• Familiarity with data science workflows and A/B testing methodologies.

Key Skills

Education

Bachelor's degree