Data Modeller

Role & responsibilities

Should be capable of developing/configuring data pipelines in a variety of platforms and technologies

• Possess the following technical skills SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools)
• Can demonstrate strong experience in writing complex SQL queries to perform data analysis on Databases SQL server, Oracle, HIVE etc.
• Experience with GCP (particularly Airflow, Dataproc, Big Query) is an advantage
• Have experience with creating solutions which power AI/ML models and generative AI
• Ability to work independently on specialized assignments within the context of project deliverables
• Take ownership of providing solutions and tools that iteratively increase engineering efficiencies
• Be capable of creating designs which help embed standard processes, systems and operational models into the BAU approach for end-to-end execution of data pipelines
• Be able to demonstrate problem solving and analytical abilities including the ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and apply sound business and technical domain knowledge
• Communicate openly and honestly using sophisticated oral, written and visual communication and presentation skills - the ability to communicate efficiently at a global level is paramount
• Ability to deliver materials of the highest quality to management against tight deadlines
• Ability to work effectively under pressure with competing and rapidly changing priorities

Preferred candidate profile