Data Engineering Professional II

Overview

Build and maintain data pipelines and architectures that support analytics and data-driven decision-making. Collaborate with Agile teams, data scientists, business analysts, and solutions architects on enterprise data initiatives.

What you'll do

• Design, develop, optimize, and maintain ETL data pipelines and architectures.
• Define requirements and gather, mine, and validate structured and unstructured data.
• Support data scientists with data sourcing and preparation for visualization and insight generation.
• Evaluate, implement, and deploy tools and processes for analytic data engineering.
• Develop technical architectures with business analysts and solutions architects.
• Implement statistical data quality procedures for new data sources.
• Advise, mentor, and coach data and analytics professionals on standards and practices.

What you'll need

• Advanced data engineering and modeling skills.
• Proficiency in DevOps practices and continuous integration.
• Expertise in software development methodologies, data structures, and algorithms.
• Experience with Spark, Hadoop, system integration, and large-scale data processing.
• Programming skills in Python, Scala, Java, or C++.
• Advanced SQL and database management skills.
• Experience deploying applications on cloud platforms using Kubernetes.

Details

• Location: Bengaluru, India.
• Employment type: Full time.