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DevOps Engineer - Data Lake
PayNet (Payments Network Malaysia)Kuala Lumpur, Kuala Lumpur, Malaysia25 hari lalu
Penerangan pekerjaanEnsure efficient and reliable data ingestion processes from various sources into the data lake or data warehouse. Implement data validation and quality checks to maintain data integrity throughout the pipeline. Data Analysis Support Optimize data storage and retrieval mechanisms to enhance performance and efficiency. Collaborate with stakeholders to identify and implement solutions for data analysis and reporting requirements. Data Governance And Security Implement security measures and access controls to protect sensitive data. Collaborate with stakeholders to ensure compliance with data privacy regulations. Technical Expertise Proficient in database management systems like MS SQL, MySQL, Oracle, and PostgreSQL. Familiarity with Change Data Capture (CDC) mechanisms and practices. Solid understanding of data pipeline architecture, ETL processes, and data integration techniques. Collaboration And Communication Strong communication skills to effectively convey technical concepts to both technical and non-technical audiences. Ability to collaborate with cross-functional teams and promote a culture of knowledge sharing and continuous improvement. Problem-solving And Troubleshooting Experience in performance tuning, optimizing data storage and retrieval, and addressing scalability challenges. Strong analytical and problem-solving skills to diagnose and troubleshoot system-level issues. Automation And Infrastructure As Code (IaC) Experience in managing and administering Kubernetes on-premises or EKS in AWS Experience with version control systems (e.g., Git) and CI / CD pipelines for automated deployments. Understanding of Infrastructure as Code (IaC) principles to maintain reproducible and scalable environments. Proficient in programming languages such as Python, Golang, Java Bachelors Degree in Computer Science, Information Systems Technology, or Software Engineering More than 7 years of relevant experience in Information Technology, especially in the field of DevOps Relevant work experience in the Financial Services and / or Technology sectors would be an added advantage Excellent in both English and Bahasa Malaysia Mid-Senior level Full-time Engineering and Information Technology
Join to apply for the DevOps Engineer - Data Lake role at PayNet (Payments Network Malaysia) .
As a Principal DevOps Engineer supporting DataOps, you will play a crucial role in enabling efficient and reliable data pipeline building, data analysis, and data governance. Your primary responsibility will be to ensure smooth data ingestion into the data lake or data warehouse, enabling downstream data consumption for Data Scientists, Analysts, and other stakeholders. You will utilize various AWS services such as MSK / Kafka, S3, EMR or Glue, Lakeformation, Athena, QuickSight, and manage ingestion from different databases like MS SQL, MySQL, Oracle, and PostgreSQL.
Responsibilities
- Data Pipeline Build
Collaborate with Data Engineers to design, implement, and optimize data pipelines.
Assist Data Scientists and Analysts in their routine analytical work by providing data access and query support.
Utilize AWS Lakeformation and other relevant tools to establish and enforce data governance policies.
Functional Competencies
Strong expertise in AWS services such as MSK / Kafka, S3, EMR or Glue, Lakeformation, Athena, and QuickSight.
Excellent collaboration skills to work closely with Data Engineers, Data Scientists, Analysts, and stakeholders.
Proven ability to identify and resolve complex technical issues related to data ingestion, processing, and analysis.
Proficiency in infrastructure automation using tools like Terraform, CloudFormation
Minimum Qualifications
Seniority level
Employment type
Job function
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Data Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia
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