Introduction
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.
Your Role And Responsibilities
As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In This Role, Your Responsibilities May Include
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 seach applications such as Elasticsearch and Splunk for client requirements
Work 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.
Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
Your Primary Responsibilities Include
Develop & maintain data pipelines for batch & stream processing using informatica power centre or cloud ETL/ELT tools.
Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT.
Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
Expertise in Data warehousing/ information Management/ Data Integration/Business Intelligence using ETL tool Informatica PowerCenter
Knowledge of Cloud, Power BI, Data migration on cloud skills.
Experience in Unix shell scripting and python
Experience with relational SQL, Big Data etc
Preferred Technical And Professional Experience
Knowledge of MS-Azure Cloud
Experience in Informatica PowerCenter
Experience in Unix shell scripting and python
ATS Match is available
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