Description

You will build and maintain scalable data solutions, managing pipelines, data lakes, and model integrations.

This role is on-site.

Responsibilities

• Develop and maintain data engineering solutions using Python.
• Set up and manage efficient data pipelines and Data Lakes.
• Execute data scrubbing and validation to ensure integrity.
• Manage and update classic and LLM models within data workflows.
• Collaborate with data scientists and software engineers while maintaining technical documentation.

Required Skills

• 2+ years of experience as a Data Engineer.
• Strong proficiency in Python programming.
• Expertise with PySpark and Databricks.
• Experience setting up and managing data pipelines and Data Lakes.
• Familiarity with Kafka, Airflow, or Snowflake.
• Experience managing classic Machine Learning models.
• Familiarity with AWS.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

Preferred Skills

• Exposure to cloud-based data platforms (AWS/Azure/GCP).
• Basic knowledge of big data technologies such as Hadoop or Spark.

Key Skills

Education

Any Graduate