Data Engineer (Elasticsearch + Datawarehousing)

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, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval
• Build and manage Elasticsearch indexes, ensuring data is stored, indexed, and queried efficiently
• Build and optimize data storage solutions like data lakes and warehouses
• 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

What you need

• 3–6 yrs of experience
• Elasticsearch
• SQL
• Machine learning
• Python
• Pandas
• Scikit-learn
• B.Sc or B.Tech or B.E. or BCA

Good to have

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