- Role: Data Engineer
- Location: Bangalore
- Company: IBM
- Qualifications: Graduate or Post graduate in Any Stream
- Experience: 0-7 Years
- Employment Type: Full Time
- Job Level: Entry Level
IBM Data Engineer Position Job Description:-
IBM, a global leader in generation and consulting, is currently searching out professional applicants for the location of Data Engineer. This function is based in Bangalore, a colorful tech hub in India, seen for its innovation and burgeoning IT industry. The Data Engineer will play a critical function in designing, enforcing, and handling statistics systems, ensuring they meet the strategic desires of the corporation. Below, we outline the vital issue responsibilities, qualifications, and talents required for this function, alongside side the advantages of running at IBM.
Your Job Responsibilities:-
1.Data Warehousing and Management: The function calls for information in statistics warehousing and facts management. The candidate will lay out, enlarge, and maintain scalable information pipelines and architectures for ETL (Extract, Transform, Load) strategies. This includes leveraging the ETL device Informatica PowerCenter to extract facts from several properties, transform them constantly with enterprise guidelines, and cargo them into goal statistics warehouses or statistics lakes.
2.Data Integration: The engineer will make certain seamless facts integration at some stage in numerous systems. This includes consolidating facts from a couple of assets and making sure it’s available for enterprise intelligence and analytics. Proficiency in data integration techniques and systems is vital to ensure statistics consistency and accuracy.
3.Cloud Computing and Data Migration: With a developing emphasis on cloud technology, the candidate has to have robust expertise in cloud structures, especially MS Azure. The role entails migrating gift records infrastructures to the cloud and optimizing them for performance and fee performance. Familiarity with cloud-based facts services and architectures is probably critical.
4.Big Data Technologies: The Data Engineer will work with large records generation, which includes managing huge datasets and growing answers that can scale with the organization’s desires. Knowledge of large data processing frameworks and information storage solutions is crucial.
5.Programming and Scripting: The function requires talent in Unix shell scripting and Python. These skills are vital for automating data workflows, coping with facts pipelines, and appearing complex records variations.
6.Business Intelligence Tools: The candidate has to enjoy Power BI or comparable industrial agency intelligence tools. This enjoy is critical for developing reports, dashboards, and visualizations that help stakeholders make knowledgeable picks.
Qualifications and Skills:
- Educational Background: A Bachelor’s or Master’s diploma in any subject or waft is needed. While particular degrees aren’t mandated, a historic past in laptop technological know-how, data era, or related fields is superb.
- Technical Expertise: Strong records in statistics warehousing, records integration, and company intelligence. Proficiency in the use of Informatica PowerCenter is mainly highlighted, indicating a want for candidates who can efficiently control ETL tactics.
- Cloud and Big Data Knowledge: Practical data of cloud systems, mainly MS-Azure, and enjoying big facts generation are vital. This consists of expertise in cloud facts migration, records storage answers, and the functionality to manipulate facts in cloud environments.
- Programming Skills: Experience with Unix shell scripting and Python is needed. These abilities are vital for scripting and automation inside the records engineering techniques.
- Analytical and Problem-Solving Skills: Strong analytical talents are critical for troubleshooting records troubles, optimizing overall performance, and ensuring data is great.
Benefits of Working at IBM:-
- IBM is known for its worker-high-quality regulations and professional development opportunities. Working as a Data Engineer at IBM offers numerous blessings:
- Career Development: IBM presents good enough possibilities for expertise enhancement and professional development. Employees have been admitted to numerous training packages and certifications.
- Work-Life Balance: IBM helps a wholesome work-existence stability with bendy running hours and the potential for far-flung work alternatives.
- Global Exposure: As an international chief, IBM offers the chance to work on international projects and interact with international clients, supplying valuable professional exposure.
About IBM Company:
IBM, or International Business Machines Corporation, is a leading American multinational generation organisation founded in Armonk, New York. Founded in 1911, originally because the Computing-Tabulating-Recording Company (CTR), it become renamed IBM in 1924. The enterprise has a wealthy records of innovation, such as the invention of the first business hard disk force and the improvement of the IBM PC, which revolutionized private computing.
IBM makes a speciality of a huge range of generation and consulting offerings, which include cloud computing, artificial intelligence, blockchain, and quantum computing. Its AI platform, Watson, is extensively recognized for its superior herbal language processing capabilities. IBM also offers agency-level IT answers, along with infrastructure, software program, and hardware merchandise.
The organisation has undergone sizeable changes, focusing increasingly on cloud services and AI, even as divesting from traditional hardware organizations. IBM is thought for its robust emphasis on research and improvement, maintaining severa patents and being a prime participant in shaping generation standards globally. With a diverse body of workers, IBM is a key participant in each the technological and business worlds, consistently adapting to the hastily converting tech panorama.
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