Data Engineer

Job description

3289570
Additional Cities

Bengaluru
Career Level

Experienced
Relocation Assistance

Yes
Business

GE Healthcare
Business Segment

Healthcare Digital Technology
Function

Digital Technology
Country/Territory

India
Postal Code

560048
Role Summary/Purpose

The Data Engineering team helps solve our customers' toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. The Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, working across GE to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.
Essential Responsibilities

The Data Engineer, will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Performs a variety of data loads & data transformations. Working knowledge of methods for parsing, formatting, & transforming data into units consistent with analytical needs. Demonstrates proficiency in implementation of logical/physical data models that support MDM best practices. Performs integration of multiple data source-formats into master data load.
Qualifications/Requirements

• Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 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

• Translates analytics problems into data requirements.
• Understands logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling.
• Good understanding of HDFS, compute & YARN architecture.
• Hands-on on Hadoop Hive and understanding of HiveQL optimizations.
• Must have worked on Spark projects for building data pipeline.
• Exposure with Messaging systems such as Apache Kafka, RabbitMQ etc.
• Experience stream processing engines like Storm, Spark Streaming, Flume etc. preferred
• Hands-on experience on Scripting (Python, Shell, Perl, Pig, etc.) is required
• Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
• Demonstrates the initiative to explore alternate technology and approaches to solving problems
• Skilled in breaking down problems, documenting problem statements and estimating efforts
• Ability to takes ownership of small and medium sized tasks and deliver while mentoring and helping team members.
• Ensures understanding of issues and presents clear rationale.
About Us

GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GE’s mission and deliver for our customers. www.ge.com
Primary Country

India
Primary State/Province

Karnataka
Primary City

Bengaluru