Data Engineer

About This Role

We are seeking a Data Engineer with 3+ years of experience in data cleaning, transformation, and analysis using Python. The role involves working with large datasets, modern data technologies, and applying a strong analytical mindset to solve business problems.

Responsibilities

• Clean, preprocess, and transform structured and unstructured data using Python
• Perform exploratory data analysis (EDA) to uncover insights and trends
• Build reusable data pipelines and feature engineering workflows
• Work with SQL and/or cloud-based data warehouses to extract and prepare data
• Collaborate with stakeholders to translate business problems into data-driven solutions
• Develop and maintain analytical models and dashboards
• Apply basic to intermediate machine learning techniques where applicable
• Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed
• Ensure data quality, reliability, and documentation

Requirements

• 3+ years of experience as a Data Engineer / Data Analyst
• Strong proficiency in Python for data manipulation and analysis
• Solid understanding of data cleaning, transformation, and feature engineering
• Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)
• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, Power BI/Tableau)
• Understanding of statistics and data analysis fundamentals
• Experience working with APIs and external data sources
• Strong problem-solving and communication skills

Qualifications

• 3+ years of experience as a Data Engineer / Data Analyst

Nice to Have

• Hands-on experience with Machine Learning models (Regression, classification, clustering, time series)
• Exposure to LLMs and Generative AI (OpenAI / Azure OpenAI APIs, Prompt engineering, Embeddings, vector databases)
• Experience with NLP or text analytics
• Knowledge of MLOps basics (model versioning, monitoring)

Skills

* Required skills

Benefits