Description

You will build and maintain enterprise-scale data applications using Python, SQL, and Spark.

This role is on-site.

Responsibilities

• Design and develop scalable data pipelines using Spark, Databricks, and AWS EMR.
• Maintain enterprise data applications and integrate with Kafka for streaming data.
• Collaborate in cross-functional Agile teams to deliver data solutions.
• Utilize Hadoop and Hive for large-scale data processing and storage.
• Apply data science principles to support application development needs.

Required Skills

• 5+ years of experience in Data Engineering, Data Science, or Application Development.
• 3+ years of experience building enterprise-scale data applications.
• Strong proficiency in Python and SQL.
• Hands-on experience with Spark, Databricks, Hadoop, Hive, AWS EMR, and Kafka.
• Experience with Scala or R is required.
• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• Proven track record working in cross-functional Agile teams.

Preferred Skills

• Experience with Palantir Foundry.
• Proficiency in visualization tools like Tableau, Power BI, Qlik, or ArcGIS.

Key Skills

Education

Bachelor's degree