You are a strategic thinker passionate about driving solutions and innovation mindset. You have found the right team.

As a Data Engineer in our STO team, you will be a strategic thinker passionate about promoting solutions using data. You will mine, interpret, and clean our data, asking questions, connecting the dots, and uncovering hidden opportunities for realizing the data’s full potential. As part of a team of specialists, you will “slice and dice” data using various methods and create new visions for the future. Our STO team is focused on collaborating and partnering with business to deliver efficiency and enhance controls via technology adoption and infrastructure support for Global Finance & Business Management India.

Job Responsibilities

Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources into Databricks. Perform data analysis and computation to derive actionable insights from the data. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Develop Optimized solutions for performance and scalability. Monitor and troubleshoot data workflows to ensure reliability and efficiency. Document data engineering processes, methodologies, and workflows.  Communicating analytical findings to senior leaders through data visualization and storytelling

 

Required qualifications, capabilities and skills

Minimum 3+ years of hands-on experience in Developing, implementing and maintaining python automation solutions including the use of LLM. Develop, implement, and maintain new and existing solutions Write efficient Python and SQL code to extract, transform, and load (ETL) data from various sources . Ability to use LLM to build AI solutions. Perform data analysis and computation to derive actionable insights from the data. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Monitor and troubleshoot data workflows to ensure reliability and efficiency. Document data engineering processes, methodologies, and workflows.

 

Preferred qualifications, capabilities and skills

Hand-on experience in Python desktop solution development Knowledge of machine learning and data science concepts will be plus Experience with data visualization tool Tableau will be plus