IBM Hiring Data Engineer

Khasim 09/28/202409/28/2024 data engineer, hiring, IBM, IBM Hiring Data Engineer, jobs

IBM Hiring Data Engineer

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IBM Hiring Data Engineer: Hiring freshers as Data Engineer from the batch 2022, 2023, 2024, 2025. Interested candidates can apply this job as soon as possible before link expires

IBM Hiring Data Engineer Job details;

Company	IBM
Role	Data Engineer
Qualification	Any Bachelor’s degree
Batch	2022, 2023, 2024, 2025
Salary	7 LPA-11 LPA

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 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