Description

You build and maintain scalable data pipelines for large-scale ingestion and operational analytics.

This role is on-site.

Responsibilities

• Build and maintain data pipelines for ingestion and analytics from billions of devices.
• Develop customer-facing analytics products that surface insights and detect anomalies.
• Collaborate with stakeholders to define data requirements and analyze data.
• Write design specifications, test plans, and scaling strategies for pipelines.
• Mentor team members to improve overall engineering capabilities.

Required Skills

• 5+ years of experience building and running scalable data pipelines.
• Proficiency in Python and Java.
• Experience with Snowflake, AWS, and Apache Spark.
• Strong command of SQL and Data Modeling principles.
• Hands-on experience with Apache Iceberg and Parquet.
• Solid understanding of Data Warehousing concepts.
• Bachelor's Degree in Computer Science or equivalent.

Preferred Skills

• Experience with distributed processing engines like Apache Flink or Dataflow/Apache Beam.
• Familiarity with workflow orchestrators like Airflow or Dagster.

Key Skills

Education

Any Graduate