Job Requirements
3 - 5 years of experience
Minimum Bachelor’s Degree
Job benefits
-
Medical insurance
Cover preventive care at no cost to you; all offer generous coverage for prescription medications; and all provide the financial protection you need in the event of a major illness or injury
-
Career growth
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This job post is managed by
Permana Solution
Last active an hour ago
Skills
Job description for Senior Data Engineer at Permana Solution
JOB DESCRIPTION
- Design, develop and maintain an infrastructure for streaming, processing and storage of data. Build tools for effective maintenance and monitoring of the data infrastructure.
- Contribute to key data pipeline architecture decisions and lead the implementation of major initiatives.
- Building Collaborate with cross-functional teams to understand data requirements and design data architectures that meet business needs.
- Develop, construct, test, and maintain data architectures, databases, and large-scale processing systems.
- Design and implement ETL (Extract, Transform, Load) processes to ingest data from various sources and transform it into usable formats.
- Optimize and enhance existing data pipelines for improved performance and reliability.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Collaborate with Data Scientists and Analysts to provide them with the necessary data resources for analysis and reporting.
- Implement and manage data warehousing solutions for efficient storage and retrieval of data.
- Stay up-to-date with emerging technologies and industry trends in data engineering.
JOB REQUIREMENTS
• 3-5 years of experience working as a data engineer
• Experience in Banking Industry is preferred.
• Strong programming skills in languages such as Python, Java, Scala, or similar.
• Experience with distributed computing frameworks like Hadoop, Spark, or Flink.
• Proficiency in designing and maintaining databases (SQL and NoSQL).
• Familiarity with data warehousing solutions and concepts.
• Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data modeling, schema design, and optimization techniques.
• Solid understanding of data management best practices and data governance.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
Interview process
- Screening CV
- Interview HR
- Interview User
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