You will design and drive the work plan for the optimization/automation and standardization of the processes incorporating best practices to achieve efficiency gains.
You will run data engineering pipelines, link raw client data with data model, conduct data assessment, perform data quality checks, and transform data using ETL tools.
You will perform data transformations, modeling, and validation activities, as well as configure applications to the client context. You will also develop scripts to validate, transform, and load raw data using programming languages such as Python/PySpark/SparkSQL. You’ll also be required to analyze and visualize data using Power BI to provide insights to support business decisions.
In this role, you will determine database structural requirements by analyzing client operations, applications, and programming.
Given the pace of this role, you will develop cross-site relationships to enhance idea generation, and manage stakeholders.
Lastly, you will collaborate with the team to support ongoing business processes by delivering high-quality end products on-time and perform quality checks wherever required.
Your qualifications and skills
- Bachelor’s degree/master's degree with high rankings, with 3+ years of professional work experience
- Excellent written and verbal communication skills in English
- Self-motivated with strong sense of problem-solving, ownership and action-oriented mindset
- Able to cope with pressure and demonstrate a reasonable level of flexibility/adaptability
- Track record of strong problem-solving, requirement gathering, and leading by example
- Able to work well within teams across continents/time zones with a collaborative mindset