Description

You will design and build data solutions, translating business requirements into functional information structures and data pipelines.

This role is on-site.

Responsibilities

• Build ETL pipelines to extract and process data using Spark or PySpark.
• Develop analytical models using Keras and perform data analysis with Python and Pandas.
• Translate business requirements into functional information solutions and data structures.
• Implement advanced data analytics under supervision.
• Travel to unanticipated client sites as required.

Required Skills

• Proficiency in SQL and RDBMS (Oracle, SQL Server, or MySQL).
• Experience with Python and Pandas for data manipulation.
• Hands-on work with Spark or PySpark for distributed processing.
• Knowledge of Hive for data warehousing.
• Experience with Keras for analytical modeling.
• Familiarity with Redshift or Kafka for data streaming or storage.
• Demonstrated experience with at least four of: SQL, RDBMS, Hive, Python, Spark, PySpark, Keras, Pandas, Redshift, or Kafka.

Preferred Skills

• Master’s degree in Computer Science, IT, Business, Science, or Engineering.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science