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Read the Job Description: Start by carefully reading the job description. Make sure you understand what the job involves.
Check Your Skills: Compare the skills they're looking for with what you know how to do. Figure out where you're strong and where you might need to learn more.
Check Eligibility Criteria: Look at the qualifications they want, like education and experience. Make sure you have what they're asking for.
Update Your Resume and Cover Letter: Change your resume and cover letter to match the job. Highlight the things that make you a good fit.
Learn About the Company: Take some time to find out about the company you want to work for. Understand what they do and what they care about. This helps you show you're interested in them.
About IBM:
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Roles and Responsibilities:
- 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
Preferred Technical and Professional Expertise:
- Preferred technical and professional experience
- Knowledge of MS-Azure Cloud
- Experience in Informatica PowerCenter
- Experience in Unix shell scripting and python.
Eligibility Criteria:
1)BE/BTech/ME/MTech/MSC/MCA
2)All Branches Eligible
3)Year of Passing: Not Mentioned
Location: Hyderabad
Apply Link: Click Here
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