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IBM
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Data Engineer-Data Integration

Data Engineer-Data Integration

IBM

2 - 5 years

6 - 10 Lacs

Pune

Posted:16 hours ago| Platform:

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Skills Required

data engineer snowflake data warehouse data management talend cloud platforms machine learning caching sql analytics query optimization automation elasticsearch shell splunk shell scripting clustering big data etl data integration

Work Mode

Work from Office

Job Type

Full Time

Job Description

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, youll 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, youll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
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 search applications such as Elasticsearch and Splunk for client requirements

Required education

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

Preferred technical and professional experience

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.
Proficiency in SQL and/or Shell scripting for custom transformations and automation tasks.

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Data Engineer-Data Integration