Sr. Data Engineer
Responsibilities
•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
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Azure Solutions Architect Expert (Microsoft), Cloudera Certified Professional (CCP) Data Scientist (Upgrad), Databricks Certified Associate Developer for Apache Spark 3.0 (Databricks Academy), Databricks Certified Data Engineer Professional (Databricks Academy), Microsoft Certified: Azure Data Engineer Associate (Microsoft)
Required Skills
Agile Methodology, Banking Capital Markets, Client Relations, Cloud Computing, Collaboration Tools, Commercial Sales, Consumer Packaged Goods (CPG), Databricks Platform, Data Engineering, Data Literacy, Design Thinking, Electronic Hardware, Executive Presence, Inclusion, Manufacturing Equipment, Personal Effectiveness, Semiconductors, Snowflake (Platform), Sourcing and Procurement, Storytelling
Language
English — Proficiency: Proficient (C2)
Job Details
•Job Type: Regular
•Master Skill List: Data Engineering
•Remote Type: Hybrid
•Work Shift: Flex Time (India)
•Location: 1st floor Nyati Tech Park, Pune, India