Description

You build and own the data infrastructure and systems necessary for efficient data processing and analysis.

Responsibilities

• Design and build data infrastructure and systems for efficient data processing.
• Develop and implement data pipelines, integration, and transformation solutions.
• Transform raw data into actionable insights to drive decision-making.
• Work with data sourced from energy systems, smart grids, or industrial IoT platforms.
• Collaborate with teams to deliver specific client outcomes.

Required Skills

• 4-10 years of experience in data engineering, focused on AWS technologies.
• 3+ years of hands-on experience with AWS services including Lambda, S3, and Airflow.
• Proficiency in Python and SQL.
• Experience with PySpark and Data Processing.
• Strong understanding of Data Engineering principles and Data Modeling.
• Experience with AWS.
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.

Preferred Skills

• Experience with AWS Glue and Redshift.
• Knowledge of data lake and data architecture patterns.

Key Skills

Education

Any Graduate