Data Engineer-Data Integration - Fresher

Overview

About the job:

Key responsibilities:

1. Implement and validate predictive models as well as create and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques.

2. Design and implement various enterprise search applications, such as Elasticsearch and Splunk, for client requirements.

3. 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.

4. 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.

Who can apply:

Only those candidates can apply who:

Salary:

Competitive salary

Experience:

0 year(s)

Deadline:

2025-11-29 23:59:59

Skills required:

Python, SQL, Unix, Data Analytics, Microsoft Azure, Power BI, Big Data Analytics, ETL processes and Warehouse Management

Other Requirements:

A. 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, and Data migration on cloud skills.

* Experience in Unix shell scripting and Python

* Experience with relational SQL, Big Data, etc

B. Preferred technical and professional experience

* Knowledge of MS-Azure Cloud

* Experience in Informatica PowerCenter

* Experience in Unix shell scripting and Python

About Company:

International Business Machines (IBM), founded in 1911 and headquartered in Armonk, New York, is a global technology company specializing in AI, cloud computing, and enterprise solutions. With a revenue of $60 billion in 2023, IBM continues to drive innovation through its AI platform Watson, quantum computing research, and hybrid cloud solutions. In India, IBM has a strong presence, operating multiple research centers and collaborating with businesses on digital transformation projects. The company is also focused on cybersecurity, blockchain, and automation, making it a key player in the global IT ecosystem. IBM’s legacy of technological advancements and strong R&D investments ensures its continued relevance in the rapidly evolving digital landscape.