IBM Hiring Data Engineer - Data Integration Salary : 5.5 - 8 LPA Freshers / Experienced Candidates Can Apply

 IBM Hiring Data Engineer - Data Integration  Salary : 5.5 - 8 LPA Freshers / Experienced Candidates Can Apply 

 


Company :  IBM 

Job Category :-Data Engineer - Data Integration  

Location : Hyderabad

Experience : 0-2  Years 


 Turing Hiring Python & Full Stack Developer Salary : 4 - 7 LPA Freshers / Experienced Candidates Can Apply 


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.


Required education

Bachelor's Degree


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



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