▷ Immediate Start: Data Engineer

3 days ago

Jaipur, India Deloitte Full time

Deloitte India is hiring for 5+ years of experience

Notice Period - Immediate to 30 Days

Location : Comfortable working from Jaipur Location

Should have prior Government Experience.

What impact will you make?

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential

Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.

The Team

Deloitte Digital is passionate and focused on helping clients tackle their most complex challenges. Learn how we help clients innovate, improve user experience, and maximize the value from customer operations by harnessing the breadth and depth of our digital capabilities.

Minimum Experience and Qualifications:

1. B.Tech/BE/MCA.
2. Proven minimum 5 years of hands-on experience in ETL development with IBM Datastage, Watsonx.data, with a strong understanding of data lakewarehousing concepts and data management techniques.
3. Proficiency in IBM ETL tools such as IBM Datastage, Watsonx.data and expertise in SQL, scripting languages, and data modeling.
4. Demonstrated experience in designing and implementing complex ETL processes in a large-scale national level project.
5. Experience in design, development, monitoring and testing of data pipelines using IBM Datastage and Watsonx.data.
6. Hands on exposure in handling of structured/semi structured/Un structured data using big data platform such as Hadoop/Spark/Kafka.
7. Proven ability to work in a fast-paced environment, managing multiple priorities and deadlines effectively.

- Desirable Qualification:Certifications in IBM ETL tools will be preferred.

Roles and Responsibilities:

1. Develop and maintain ETL processes for extracting data from various sources, transforming it into meaningful formats, and loading it into the data lakewarehouse.
2. Design and implement scalable, high-performance ETL solutions that meet business requirements and ensure data accuracy and integrity.
3. Collaborate with stakeholders to understand and document data requirements, ensuring the ETL solutions align with business needs.
4. Optimize ETL processes for improved efficiency, scalability, and reliability.
5. Perform data validation and quality assurance to guarantee the accuracy and consistency of data in the data warehouse.
6. Troubleshoot and resolve issues related to data quality and ETL processes.
7. Stay updated with emerging technologies and industry trends in ETL, proposing and implementing improvements as needed.

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