Cloud Automation Engineer

Job description

2923452
City

Bangalore
Career Level

Experienced
Relocation Assistance

Yes
Business

GE Digital
Business Segment

Digital Technology
Function

Digital Technology
Country

India
Postal Code

560048
Role Summary/Purpose

The Data Engineer - Cloud automation will be responsible for design, development, and deployment of our Data & Analytics cloud infrastructure automation & services used to build/manage infra/applications build on “Big Data” technologies (HVR,Talend,Greenplum,Hadoop,EMR,Spark), both on-premise & in cloud (AWS). Using industry best practices & innovation,you will aim to provide high-performance, scalable,secure, & resilient systems to enable product dev teams & their products & services.
Essential Responsibilities

In this role, you will drive and execute the strategy for automating the deployment and maintenance of Data Ingestion, Modeling, Design, and Consumption components in the cloud.
• Design, build and maintain to support cloud automation delivery
• Develop maintainable, reusable automation components for the deployment & management of cloud infrastructure
• Partner with both core infrastructure (Coretech/Public Cloud) and Big Data across BUs teams on specific requirements and drive one common process
• Collaborate with colleagues across Cloud Infrastructure teams to help facilitate innovative solutions
• Coordinate with security and network teams to provide a robust infrastructure platform
• Evaluate emerging technologies for feasibility and integration analysis
• Actively communicate progress against goals
Qualifications/Requirements

• Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with 2-5 years of experience as data engineer.
• A minimum of 3 years of Database/Data Warehouse, SQL (Oracle, Terradata, Greenplum, Hive etc.) experience is required
• A minimum of 1 year of experience using Hadoop ecosystem
Desired Characteristics

• Linux Administration (RHEL/OEL/Ubuntu)
• Experience with Amazon Web Services (AWS) services
• Knowledge of AWS Data Platforms (Redshift, RDS, etc)
• Orchestration and Configuration Management tools (Puppet, Chef, etc)
• Strong infrastructure automation skills in multiple programming languages (Ruby/Python preferred)
• Certification(s) in AWS is preferred
• Experience developing and implementing REST APIs to define application interfaces and boundaries preferred
• Familiarity with Big Data tools and platforms (Hadoop, Greenplum, HVR, Casandra, etc.)
• Familiarity with Informatica, Talend, and other ETL transport tools
• Excellent communication skills, both written and verbal, including the ability to communicate effectively with both business and technical audiences
• Demonstrated customer focus
• Demonstrated commitment to quality and delivering complete solutions that solve business problems or deliver our strategy
#DTR
About Us

GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry.