Data Engineer | Data & AI

include: Build and maintain data pipelines and ETL/ELT processes. Extract, transform, validate, and integrate data from databases, APIs, Excel, CSV, FTP/SFTP, and cloud sources. Develop Python/Pandas scripts for data processing and automation. Write and optimize SQL queries for data extraction, transformation, and reconciliation. Ensure data quality, consistency, and integrity across systems. Automate recurring data-processing, validation, and reporting workflows. Prepare and manage datasets used for image-recognition and computer-vision models. Monitor model outputs and investigate data-related recognition errors and performance issues. Support model training, testing, evaluation, and comparison of model versions. Build datasets and data processes that support Power BI and business reporting. Collaborate with development, business, and data teams to deliver practical data solutions. Desired Candidate Profile

What We Are Looking For

• Bachelor s degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or a related field. 1 3 years of relevant experience in data engineering, data processing, automation, or a related technical role
• Good knowledge of Python, Pandas, SQL, and relational databases
• Understanding of ETL/ELT and data-pipeline concepts
• Strong analytical and problem-solving skills
• Strong attention to data quality and accuracy
• Comfortable working with large, messy, real-world datasets
• Familiarity with APIs and formats such as JSON, XML, CSV, and Excel
• Good communication and documentation skills

Nice to Have

• Experience with Azure, Azure Data Factory, Databricks, Airflow, or similar tools
• Power BI experience
• Git/GitHub and Docker
• REST APIs and FTP/SFTP integrations
• Experience with computer vision or machine learning
• Familiarity with PyTorch, TensorFlow, or similar frameworks
• Knowledge of model evaluation metrics such as precision, recall, F1 score, and confidence thresholds
• Experience with FMCG, retail, sales, customer, or field-force data