Data Engineer

AmaliTech is looking for an experienced Data Engineer to join our data team and help design, develop, and optimize data pipelines and workflows. The ideal candidate will have a strong understanding of data engineering concepts, excellent problem-solving skills, and the ability to work on complex data projects that drive impactful insights. Your work will directly contribute to improving decision-making and operational efficiency across the organization.

Job Description

Develop, construct, and maintain scalable data pipelines and ETL processes.
Assemble large, complex datasets that meet functional and non-functional business requirements.
Collaborate with data architects, data scientists, and analysts to understand data requirements and optimize data workflows.
Monitor and troubleshoot data systems using tools such as Grafana or AWS CloudWatch to ensure reliability, data quality, and availability.
Implement data governance and security measures to protect sensitive data.
Design and optimize data storage solutions, including data warehouses and data lakes.
Automate and improve data processes and workflows for scalability and efficiency.
Monitor data infrastructure for performance and reliability to address issues promptly.
Keep abreast of industry trends and emerging technologies in data engineering.
Document data pipelines, processes, and best practices for knowledge sharing.
Optimize database performance for efficient data retrieval and storage.

Qualifications

Minimum 3 years of experience as a Data Engineer or in a similar role.
Proficiency with ETL tools, data integration platforms, and frameworks.
Strong SQL skills and experience with both relational and NoSQL databases.
Experience working with big data technologies like Apache Spark, Kafka, or Hadoop.
Hands-on experience with cloud platforms (AWS, Azure, GCP) for data engineering.
Proficient in programming languages, particularly Python (preferred), as well as Java or Scala.
Strong analytical and problem-solving skills, adept at understanding complex data needs and resolving quality issues to ensure data accuracy and reliability.