Data Engineer-Data Integration

Hybrid - Bangalore, IN

Professional, Scientific, and Technical Services

About the position

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Responsibilities

• Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
• Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
• Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
• Building teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results

Requirements

• Bachelor's Degree
• Very good experience on Continuous Flow Graph tool used for point based development
• Design, develop, and maintain ETL processes using Ab Initio tools
• Write, test, and deploy Ab Initio graphs, scripts, and other necessary components
• Troubleshoot and resolve data processing issues and improve performance
• Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems
• Work with different data formats, including structured, semi-structured, and unstructured data

Nice-to-haves

• You thrive on teamwork and have excellent verbal and written communication skills
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to communicate results to technical and non-technical audiences