Data Engineer

About the role

As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery.

What you'll do

• Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources
• Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing
• Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis
• Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes
• Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows

What you need

• 3–6 years in data science & ai
• SQL
• Machine learning
• ETL
• Python
• Pandas
• Scikit-learn
• B.Sc or B.Tech or B.E. or BCA

Good to have

• AWS
• Spark
• Computer vision
• Data warehousing
• Databricks
• GCP