Senior Data Engineer

Overview

Senior Data Engineer responsible for building and maintaining scalable data architectures and pipelines that support analytics and data-driven decision-making.

What you'll do

• Design, develop, optimize, and maintain ETL data architectures and pipelines.
• Gather, mine, and validate structured and unstructured data in big data environments.
• Support data scientists with data sourcing and preparation.
• Evaluate, implement, and deploy analytic data engineering tools and processes.
• Partner with business analysts and solutions architects on enterprise technical architectures.
• Mentor data and analytics professionals on data standards and practices.

What you'll need

• Expertise designing and maintaining scalable data architectures.
• Proficiency in SQL, PL/SQL, MongoDB, and database performance tuning.
• Programming experience with Python, Scala, Java, or C++.
• Knowledge of Spark, Hadoop, data structures, and algorithms.
• Experience with DevOps, continuous integration, and software development methodologies.
• Experience with cloud deployment tools such as Kubernetes.
• Advanced troubleshooting and complex problem-solving skills.

Details

• Location: Bengaluru, India.
• Employment type: Regular, full time.