BI/Data Engineer (Remote)

About Us

Role Overview

Data Engineer / BI Engineer

(Remote)

end-to-end data workflows

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Python, Airflow, and SQL to manage and optimise data lake and data warehouse solutions in an AWS environment.
• Extract and integrate data from third-party APIs and optimise queries to improve performance and ensure efficient database operations.
• Develop and maintain dynamic dashboards and reports in Power BI for management consumption as per stakeholder requirements.
• Perform data profiling and source system analysis to ensure data quality and integrity. Independently validate and assess the accuracy of data outputs before delivery, ensuring results align with business expectations.
• Proactively evaluate different technical approaches and suggest alternatives to ensure optimal outcomes within the broader system and business context.
• Implement best practices in data engineering, architecture, and analysis for the continuous improvement of data solutions.
  

Requirements

• 4+ years of experience in data engineering, ETL/ELT pipeline development, and data warehouse management solutions on AWS. Strong expertise in SQL (T-SQL, MS SQL) with a focus on query optimisation and database performance tuning.
• Proficiency in Python (including data-specific libraries such as Pandas, NumPy, etc.) and Airflow for ETL/ELT processes. Experience extracting and managing data from third-party APIs (REST, JSON).
• Strong expertise in Power BI for data visualisation, dashboard creation, and insight generation through data analysis.
• Demonstrated ability to think critically and evaluate multiple technical solutions in the broader context of system architecture and business goals while proactively identifying problems and implementing alternative solutions
• Strong communication skills and familiarity with agile methodologies with a continuous improvement mindset.
• Willing to work in AU Shift, 3:30am to 12:30pm IST, Mon to Fri.
  

Preferred Qualifications

• Exposure to AWS cloud data services such as RedShift, Athena, Lambda, Glue, etc.
• Experience with additional BI tools like Tableau/QlikSense.
• Knowledge of data lake architectures and best practices.
• Experience with AI-driven data analytics, or integrating AI models with BI solutions.
  

Benefits

• Opportunity to gain hands-on experience working with a talented team of data and AI professionals on AI technologies and modern data engineering practices.
• Competitive salary, benefits, and opportunities for growth.
• A collaborative, fast-paced, and innovative culture that values initiative, ownership, and smart solutions.
• Flexible remote work opportunity