Remote Data Engineer

Description:

• AmaliTech is seeking an experienced Data Engineer to join their data team and assist in designing, developing, and optimizing data pipelines and workflows.
• The ideal candidate will possess a strong understanding of data engineering concepts, excellent problem-solving skills, and the ability to work on complex data projects that yield impactful insights.
• Responsibilities include developing, constructing, and maintaining scalable data pipelines and ETL processes.
• The Data Engineer will assemble large, complex datasets that meet both functional and non-functional business requirements.
• Collaboration with data architects, data scientists, and analysts is essential to understand data requirements and optimize data workflows.
• The role involves monitoring and troubleshooting data systems using tools like Grafana or AWS CloudWatch to ensure reliability, data quality, and availability.
• Implementing data governance and security measures to protect sensitive data is a key responsibility.
• The Data Engineer will design and optimize data storage solutions, including data warehouses and data lakes.
• Automating and improving data processes and workflows for scalability and efficiency is expected.
• Monitoring data infrastructure for performance and reliability to address issues promptly is part of the job.
• Keeping abreast of industry trends and emerging technologies in data engineering is necessary.
• Documentation of data pipelines, processes, and best practices for knowledge sharing is required.
• The role also includes optimizing database performance for efficient data retrieval and storage.

Requirements:

• A minimum of 3 years of experience as a Data Engineer or in a similar role is required.
• Proficiency with ETL tools, data integration platforms, and frameworks is necessary.
• Strong SQL skills and experience with both relational and NoSQL databases are essential.
• Experience with big data technologies such as Apache Spark, Kafka, or Hadoop is required.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) for data engineering is necessary.
• Proficiency in programming languages, particularly Python (preferred), as well as Java or Scala is required.
• Strong analytical and problem-solving skills are essential, with the ability to understand complex data needs and resolve quality issues to ensure data accuracy and reliability.
• Preferred qualifications include experience with workflow orchestration tools such as Apache Airflow or Luigi, familiarity with data warehousing solutions (e.g., Redshift, Snowflake), and experience working in an Agile environment.

Benefits:

• The position offers a competitive salary commensurate with qualification and experience.
• Pension benefits are included as part of the compensation package.
• Employees will receive bonuses and an end-of-year package.
• Medical insurance is provided, covering dependents as well.
• Internet data allocation for remote work is part of the benefits.
• Employees can participate in bonding activities, including bi-monthly happy hours and sporting activities.
• Working with AmaliTech provides an excellent opportunity for career growth and development in a healthy and diverse work environment, with the chance to build an international IT career and collaborate with global IT companies.