Description

You will design, prototype, and build data solutions to solve business problems. Responsibilities include translating business requirements into technical information solutions and identifying required data structures. You will apply advanced data analytics techniques and build ETL pipelines to extract and process data from various sources. The role involves performing data analysis and developing analytical models. You may need to travel to or relocate to unanticipated client sites throughout the USA as required.

Responsibilities

• Translate business requirements into technical information solutions.
• Identify required data structures and apply advanced analytics techniques.
• Build ETL data pipelines to extract and process data from various sources.
• Perform data analysis and develop analytical models.
• Travel to or relocate to unanticipated client sites throughout the USA as required.

Required Skills

• 6 months of experience in Data Engineering or a closely related IT role.
• Proficiency in SQL and RDBMS including Oracle, SQL Server, or MySQL.
• Experience with Python and data libraries such as Pandas.
• Hands-on work with Spark or PySpark.
• Experience with Hive.
• Knowledge of Keras for analytical modeling.
• Experience with Redshift.

Preferred Skills

• Master's degree in Computer Science, IT, Technology, Engineering, Business, or a related field.

Key Skills

Education

Any Graduate