Off Campus Hiring For Data Engineer in Eaton Apply Now

Off Campus Hiring For Data Engineer in Eaton If you have right skill for this job Apply for using Below Link Eaton Looking for Individual who is perfect in Data Engineer

About Company

At Eaton, They Are dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. They are a power management company doing business in more than 175 countries.

Job Profile: Data Engineer

Degree Required: BE/BTech/M.Tech

Batch Eligible: Any Batches

Experience Required: Freshers/Experience

CTC: Not Mentioned

Work Location: Hadapsar, Pune, Maharashtra, IND

Also Apply : NTT Is Hiring For Associate Software Development Engineer Latest Opening

Qualifications

• Bachelor Degree in Computer Science or Software Engineering or Information Technology 

Skills:

•    Apache Spark, Python
•    Azure experience (Data Bricks, Docker, Function App)  
•    Git
•    Working knowledge of Airflow
•    Knowledge of Kubernetes and Docker

Roles & Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration processes to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake.
• Collaborate with stakeholders to understand data requirements and translate them into efficient and scalable data engineering solutions.
• Optimize data models, database schemas, and data processing algorithms to ensure efficient and high-performance data storage and retrieval.
• Implement and maintain data quality and data governance processes, including data cleansing, validation, and metadata management.
• Work closely with data scientists, analysts, and business intelligence teams to support their data needs and enable data-driven decision-making.
• Develop and implement data security and privacy measures to ensure compliance with regulations and industry best practices.
• Monitor and troubleshoot data pipelines, identifying and resolving performance or data quality issues in a timely manner.
• Stay up to date with emerging technologies and trends in the data engineering field, evaluating and recommending new tools and frameworks to enhance data processing and analytics capabilities.
• Collaborate with infrastructure and operations teams to ensure the availability, reliability, and scalability of data systems and infrastructure.

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