Data Engineer

July 23, 2026
Application ends: October 22, 2026
Apply Now

Job Description

Description

Key Responsibilities:

  • Clean, preprocess, and transform structured and unstructured data using Python
  • Data Engineer will 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
  • As a Data Engineer, you will 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
  • Experience with SQL (PostgreSQL, MySQL, Big Query, Snowflake, etc.)
  • Experience working with APIs and external data sources
  • Solid understanding of data cleaning, transformation, and feature engineering
  • Familiarity with data visualization tools; Matplotlib, Seaborn, Plotly, or Power BI/Tableau
  • Understanding of statistics and data analysis fundamentals
  • Strong proficiency in Python for data manipulation and analysis; Pandas, NumPy, SciPy
  • Strong problem-solving and communication skills

Modern/Latest Tech Stack (Preferred):

  • Python (3.x)
  • Pandas, NumPy, Scikit-learn
  • Jupiter, VS Code
  • Git/GitHub
  • Cloud platforms: AWS/Azure/GCP
  • Data tools: Airflow, dbt, Spark (basic exposure)
  • Containerization: Docker (nice to have)

Good 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 (FAISS, Pinecone, Chroma)
  • Experience with NLP or text analytics

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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