Senior Data Engineer

About the Position

WorkGarden is a forward-thinking software consulting company specializing in innovative software and data solutions. We are looking for a senior Data Engineer to join our team, working with cloud technologies to build robust data pipelines and scalable infrastructure.

Responsibilities11

• 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

Requirements11

• 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

Benefits5

• 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