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IBM
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Data Engineer-Data Integration

Data Engineer-Data Integration

IBM

2 - 5 years

6 - 10 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

etl snowflake oracle talend cloud platforms ansible docker sql database design java git data modeling devops linux data ingestion jenkins shell scripting hadoop big data python performance tuning microsoft azure warehouse aws data integration

Work Mode

Work from Office

Job Type

Full Time

Job Description

As an entry level Package Consultant at IBM, you will help to assist clients in the selection, implementation, and production support of application packaged solutions, such as SAP, Oracle, Salesforce, Microsoft Dynamics, Workday, or SharePoint solution suite, to meet client needs. Leveraging a growth mindset, you're ready and willing to deliver business value, wherever needed.

In your role, you may be responsible for:

Assisting clients in selection, implementation, and support of package

Make strategic recommendations and leverage business knowledge to drive solutions for clients and their management

Run or support workshops, meetings, and stakeholder interviews

Develop process maps to understand As-Is and To-Be scenarios

Use IBM's Design Thinking to help solve client's challenges

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization.

Strong experience in building data ingestion and transformation pipelines using Talend to process structured and unstructured data from various sources.

Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities

Preferred technical and professional experience

Hands-on experience with dimensional and relational data modeling techniques to support analytics and reporting requirements.

Understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling.

Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes

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Data Engineer-Data Integration