IBM Hiring Drive 2024 For Data Engineer | Location Mumbai

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IBM Hiring Drive 2024: IBM Hiring Drive 2024 for its Data Engineer. IBM Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.

Company Name: IBM

Role: Data Engineer

Location: Mumbai

Experience: Experienced

Qualification: Bachelor’s degree

Batch: Any

Job Type: Full Time

Salary: 11.0 LPA (Expected)

IBM Hiring Drive 2024

Job Description:

  • 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, you will 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.

Requirements:

  • 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
  • Knowledge of MS-Azure Cloud
  • Experience in Informatica PowerCenter
  • Experience in Unix shell scripting and python

Responsibility:

  • 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
  • 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.

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