Sr. Data Engineer - Data Engineering 4B

Overview

Design, develop, and maintain scalable data processing systems and pipelines as a Senior Data Engineer. The role involves optimizing data infrastructure and partnering with data scientists and analysts on data requirements.

What you'll do

• Design scalable data processing systems.
• Develop and maintain data pipelines for ingesting, processing, and storing large data volumes.
• Optimize data infrastructure for performance and reliability.
• Collaborate with data scientists and analysts to implement data solutions.
• Troubleshoot and resolve data-related issues.
• Monitor emerging big data engineering technologies and trends.
• Mentor junior data engineers on best practices and technical skills.

What you'll need

• Bachelor’s degree in Business Analytics, Computer Science, or Statistics, or a master’s degree in Data Science.
• Data engineering experience and knowledge of the Databricks Platform.
• Knowledge of Snowflake and cloud computing.
• Strong collaboration and client relations skills.
• Proficient English language skills at C2 level.

Nice to have

• Azure Solutions Architect Expert certification.
• Cloudera Certified Professional Data Scientist certification.
• Databricks Certified Associate Developer for Apache Spark 3.0 certification.
• Databricks Certified Data Engineer Professional certification.
• Microsoft Certified: Azure Data Engineer Associate certification.

Details

• Location: Chennai, Tamil Nadu, India.
• Work mode: Hybrid.
• Employment type: Regular.
• Work shift: Flex Time (India).