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Senior Data Engineer
Location
Bulgaria
Posted
68 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
Astro Sirens LLC
• Design, implement, and maintain robust and scalable data pipelines using AWS, Azure, and containerization technologies. • Develop and maintain ETL/ELT processes to extract, transform, and load data from various sources into data warehouses and data lakes. • Collaborate with data scientists, analysts, and other engineers to ensure seamless data flow and availability across the organization. • Optimize data storage and retrieval performance by utilizing cloud services like AWS Redshift, Azure Synapse, or other relevant technologies. • Work with containerization tools like Docker and Kubernetes to ensure smooth deployment, scalability, and management of data pipelines. • Monitor, troubleshoot, and optimize data processing pipelines for performance, reliability, and cost-efficiency. • Automate manual data processing tasks and improve data quality by implementing data validation and monitoring systems. • Implement and maintain CI/CD pipelines for data workflow automation and deployment. • Ensure compliance with data governance, security, and privacy regulations across all data systems. • Participate in code reviews and ensure the use of best practices and documentation for data engineering solutions. • Stay up-to-date with the latest data engineering trends, cloud services, and technologies to continuously improve system performance and capabilities.
Job Requirements
- Excellent communication skill, specifically fluent verbal English is mandatory to explain complex technical concepts to non-technical stakeholders and collaborate across teams.
- Proven experience as a Data Engineer, with hands-on experience building and managing data pipelines.
- Strong proficiency in cloud technologies, specifically AWS (e.g., S3, Redshift, Glue) and Azure (e.g., Data Lake, Azure Synapse).
- Experience working with containerization and orchestration tools such as Docker and Kubernetes.
- Proficient in data engineering programming languages, such as Python, Java, or Scala.
- Solid experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
- Familiarity with data processing frameworks like Apache Spark, Apache Kafka, or similar tools.
- Experience with workflow orchestration tools like Apache Airflow, DBT, or similar.
- Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Amazon Redshift, or Google BigQuery).
- Strong understanding of ETL/ELT processes and best practices.
- Experience with version control systems like Git.
- Strong problem-solving skills and a proactive approach to troubleshooting and optimization.
Benefits
- Competitive salary and flexible payment method.
- Opportunities for growth and professional development.
- Flexible working hours and full remote work opportunity.
- Work in a collaborative, innovative and inclusive environment.
- Be a part of a data-driven culture that is at the forefront of innovation.
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