Description

You will build and maintain data solutions at scale.

Responsibilities

• Develop and maintain data engineering solutions using strong Python programming.
• Set up and manage efficient data pipelines and Data Lakes, ensuring smooth system integration.
• Execute data scrubbing and validation processes to guarantee data quality and integrity.
• Manage and update classic and LLM models integrated within data workflows.
• Collaborate with data scientists and software engineers while maintaining technical documentation.

Required Skills

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

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