Description

Design and implement data pipelines and warehousing solutions to support organizational data needs and business insights.

This role is remote.

Responsibilities

• Design and implement data pipelines using Databricks, Snowflake, and Spark.
• Model, store, and analyze large structured and unstructured datasets in relational databases like Teradata.
• Develop and optimize queries using SQL, SparkSQL, or Scala for data analysis.
• Utilize AWS services (S3, Glue, EMR) for data processing and storage.
• Implement and maintain IAM roles and permissions for secure data access.

Required Skills

• 5+ years of experience in data modeling, warehousing, and analysis.
• Proficiency with AWS technologies: S3, AWS Glue, and EMR.
• Experience with Databricks and Snowflake.
• Strong skills in Spark and Python.
• Proficiency in at least one query language: SQL, SparkSQL, or Scala.
• Experience working with relational databases and handling structured/unstructured data.
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or Mathematics.

Preferred Skills

• Experience with NoSQL databases or data stores.
• Proficiency in KornShell scripting.

Key Skills

Education

Any Graduate