Data Engineer

• Project: Robotics, Automation & Construction Equipment Analytics
• Total Openings: 4
• 2 Senior Data Engineers: 5–7 Years of Experience
• 2 Junior Data Engineers: 3–5 Years of Experience

Job Description

We are looking for 4 skilled Data Engineers to work on an exciting Robotics and Advanced Analytics project focused on intelligent construction equipment, automation, and machine-generated data.

Required Technical Skills

• Python: Strong hands-on programming experience in data processing, transformations, and automation.
• Pandas & DataFrames: Expertise in DataFrame operations, joins, merges, groupby, filtering, aggregation, and data manipulation.
• AWS: Hands-on experience with cloud-based data engineering and data pipelines.
• ETL/ELT: Experience developing and optimizing data ingestion and transformation pipelines.
• SQL: Strong querying skills and experience working with structured datasets.
• Data Processing: Ability to handle large datasets efficiently and optimize Python/Pandas code.

Key Responsibilities

• Develop and maintain scalable data pipelines using Python, Pandas, and AWS.
• Process and analyze large datasets from construction equipment, sensors, and robotic systems.
• Build and optimize DataFrame-based data transformations.
• Integrate data from equipment telemetry, machine logs, and cloud platforms.
• Collaborate with robotics engineers, software developers, and analytics teams.
• Ensure data quality, accuracy, reliability, and pipeline performance.
• Troubleshoot and optimize Python scripts and data processing workflows.

Senior Data Engineer – 2 Positions

• Experience: 5–7 Years
• Advanced expertise in Python, Pandas, DataFrames, and AWS.
• Strong experience designing and optimizing complex data pipelines.
• Ability to independently develop scalable and efficient data processing solutions.
• Excellent coding and debugging skills.

Junior Data Engineer – 2 Positions

• Experience: 3–5 Years
• Strong hands-on experience with Python and Pandas.
• Good understanding of DataFrame manipulation and transformations.
• Working experience with AWS, SQL, and ETL pipelines.
• Ability to write clean, efficient, and maintainable Python code.