Description

You will build and maintain production-level data pipelines and analytics platforms, bridging business requirements with technical implementation.

This role is on-site.

Responsibilities

• Build robust, efficient data pipelines end-to-end with a strong focus on data quality.
• Translate business use cases into technical solutions for data-driven applications.
• Implement machine learning systems at scale, covering ingestion, feature engineering, modeling, and monitoring.
• Deploy production-level data processing workflows and analytics platforms.
• Collaborate across business, data management, and technical teams to define requirements.

Required Skills

• 5+ years of experience as a Data Engineer.
• High proficiency in Python or Scala for data processing.
• Strong experience with Spark and Hadoop ecosystems.
• Advanced SQL skills for querying and data manipulation.
• Experience with Big Data tools such as Hive, Airflow, NiFi, or Scoop.
• Ability to intuit business needs and identify appropriate technical solutions.
• Experience building and deploying production-level data applications.

Preferred Skills

• Cloud knowledge, specifically Databricks or the AWS ecosystem.
• Experience implementing machine learning systems in Java, Scala, or Python.

Key Skills

Education

Any Gradute