Data Engineer

Key Responsibilities

• Develop, test, and maintain data engineering and AI solutions using Python.
• Write, optimize, and maintain SQL queries for data extraction, transformation, and analysis.
• Design and support end-to-end data pipelines and workflows.
• Collect, clean, transform, and analyze structured and unstructured data.
• Collaborate with developers, data engineers, analysts, and business stakeholders to understand requirements.
• Support the development of machine learning and AI solutions.
• Automate repetitive data processing tasks using Python.
• Troubleshoot and resolve data pipeline and database-related issues.
• Document technical solutions, workflows, and development processes.
• Stay updated with emerging technologies and industry best practices.

Required Skills

• 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
• Strong proficiency in Python programming.
• Good understanding of SQL and relational databases.
• Experience developing end-to-end data solutions.
• Knowledge of data processing, ETL concepts, and data transformation techniques.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Preferred Skills

• Experience with one or more cloud platforms such as AWS, Azure, or Databricks.
• Knowledge of PySpark, AWS S3, Lambda, EC2, Airflow, or GCP.
• Familiarity with Machine Learning, Generative AI, or Computer Vision.
• Understanding of probability and statistical concepts.
• Experience with GitLab or other version control systems.
• Knowledge of R Programming is a plus.