Job description

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. Key Responsibilities • 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. • 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. Preferred Qualifications • Experience with workflow orchestration tools such as Apache Airflow or Luigi. • Familiarity with data warehousing solutions (e.g., Redshift, Snowflake). • Experience working in an Agile environment. How To Apply Interested and qualified applicants should click the " I'm Interested " to complete the application process. Ensure you have these documents before applying: • Latest copy of CV (PDF format) • Other related certificates (optional) Recruitment Process : • Click " I'm interested " to apply • Invitation to Interview(s) • Job Offer Perks • Competitive salary commensurate with qualification and experience • Pension benefits • Bonuses and end-of-year package • Medical insurance, with dependents • Internet data allocation for remote work • Employee bonding activities (bi-monthly happy hour, sporting activities) What To Expect Working with AmaliTech provides an excellent opportunity for career growth and development in a healthy and diverse work environment. Our talented and welcoming team will ensure you feel part of our family to get you engaged on the job. You have the opportunity of building an international IT career and working with global IT companies.

Requirements

Must-haves

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.
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.
Strong analytical and problem-solving skills, adept at understanding complex data needs and resolving quality issues to ensure data accuracy and reliability.
Latest copy of CV (PDF format)
Other related certificates (optional)
Click " I'm interested " to apply

Nice-to-haves

Proficient in programming languages, particularly Python (preferred), as well as Java or Scala.
Experience with workflow orchestration tools such as Apache Airflow or Luigi.
Familiarity with data warehousing solutions (e.g., Redshift, Snowflake).
Experience working in an Agile environment.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awssqlazuregcppythonjavaagile

Platform: smartrecruiters
Effort: medium