Sr. Data Engineer - Data Engineering 4B

Overview

The Sr. Data Engineer designs, develops, and maintains scalable data processing systems and pipelines for large volumes of data.

What you'll do

• Design and develop scalable data processing systems.
• Implement and maintain data pipelines to ingest, process, and store large volumes of data.
• Optimize data infrastructure for performance and reliability.
• Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay current with emerging technologies and trends in big data engineering.
• Mentor junior data engineers on best practices and technical skills.

What you'll need

• Bachelors in Business Analytics, Computer Science, or Statistics.
• Masters in Data Science.
• Agile Methodology skills.
• Banking Capital Markets experience or knowledge.
• Client Relations skills.
• Cloud Computing skills.
• Collaboration Tools skills.
• Commercial Sales skills.
• Consumer Packaged Goods (CPG) knowledge.
• Databricks Platform skills.
• Data Engineering skills.
• Data Literacy skills.
• Design Thinking skills.
• Electronic Hardware knowledge.
• Executive Presence.
• Inclusion skills.
• Manufacturing Equipment knowledge.
• Personal Effectiveness.
• Semiconductors knowledge.
• Snowflake (Platform) skills.
• Sourcing and Procurement knowledge.
• Storytelling skills.
• English Language Proficiency - Proficient - C2.

Nice to have

• Azure Solutions Architect Expert - Microsoft certification.
• Cloudera Certified Professional (CCP) Data Scientist - Upgrad certification.
• Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy certification.
• Databricks Certified Data Engineer Professional - Databricks Academy certification.
• Microsoft Certified: Azure Data Engineer Associate - Microsoft certification.

Details

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