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Data Engineer

Salary undisclosed

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Key Responsibilities:

1. Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.

2. Design and implement complex queries to extract and analyze data from multiple sources.

3. Trace and troubleshoot data-related issues across different systems.

4. Optimize data processing pipelines for speed and scalability.

5. Collaborate with data scientists, analysts, and other stakeholders to meet business needs.

6. Ensure data quality, integrity, and security in all processes.

7. Stay updated with the latest trends and technologies in big data.

Qualifications:

1. Bachelor’s degree in Computer Science, Information Technology, or a related field.

2. Proven experience as a Big Data Engineer or in a similar role with minimum 3 years experience.

3. Proficiency in SQL and experience with query optimization.

4. Strong understanding of data warehousing concepts and ETL processes.

5. Familiarity with big data tools and technologies such as Hadoop, Spark, Kafka, etc.

6. Experience with cloud platforms like AWS, Google Cloud, or Azure is a plus.

7. Excellent problem-solving skills and attention to detail.

8. Ability to work in a fast-paced, collaborative environment.