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Career Advancement Opportunities in Data Engineering
2 weeks ago
We are seeking an experienced data professional to contribute to the development of robust data pipelines, models, and solutions.
- Design, develop, and maintain scalable and efficient data pipelines for data integration and processing.
- Implement ETL workflows to extract, transform, and load large datasets from multiple sources into target systems.
- Develop and optimize data models and schemas to support analytics, reporting, and business intelligence.
- Ensure data quality, integrity, and security across all data platforms.
- Collaborate with cross-functional teams to define data architecture and storage strategies.
- Optimize SQL queries and data warehouse performance for scalability and efficiency.
- Leverage programming skills to build reusable components and frameworks for data engineering solutions.
- Conduct data validation, profiling, and monitoring to ensure accuracy and availability.
- Support analytics teams by providing clean, structured, and accessible datasets.
- Strong proficiency in Java programming language for data-related applications.
- Hands-on experience in Data Engineering, Data Modeling, and Data Architecture.
- Proven expertise in ETL development and data warehousing solutions.
Experience working with large-scale datasets and distributed data systems is highly desirable. Familiarity with Big Data technologies (Hadoop, Spark, Kafka, Hive) is also a plus.
EducationBachelor's degree in Computer Science, IT, or related discipline. Master's degree is preferred.
