Description

Design and maintain large-scale data pipelines and schemas to support evolving data sources.

This role is on-site.

Responsibilities

• Build batch data pipelines using big data frameworks, focusing on optimization, fault tolerance, and SLA adherence.
• Design data models and schemas that facilitate seamless joins across diverse datasets.
• Develop idempotent workflows using orchestrators such as Airflow, Luigi, or Automic.
• Write SQL to analyze, optimize, and profile data within BigQuery or Spark SQL.
• Collaborate with stakeholders to translate business requirements into technical data solutions.

Required Skills

• 4+ years of experience developing big data technologies and data pipelines.
• Proven experience managing and manipulating datasets at the terabyte (TB) scale.
• Proficiency with Apache Spark (Scala preferred), Hadoop, and Apache Hive.
• Hands-on experience with cloud platforms, specifically GCP.
• Strong SQL skills for data profiling and optimization.
• Expertise in data modeling and schema design.
• Ability to resolve complex issues during data integration and schema evolution.

Preferred Skills

• Experience building near real-time streaming pipelines using Apache Kafka, Spark streaming, and Kafka Connect.
• Working knowledge of REST APIs, Apache Druid, Redis, Elastic Search, or GraphQL.
• Exposure to Looker, Tableau, or the eCommerce domain.

Key Skills

Education

Any Gradute