Senior Data Engineer

Job Description

About Us:

Astro Sirens LLC 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. In this role, you'll work with cutting-edge cloud technologies like Databricks, Kafka, Spark, DBT and Python libraires to build robust data pipelines and scalable infrastructure.

Requirements

Responsibilities:

• 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.

Requirements:

• 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.

• Excellent communication and collaboration skills to work with cross-functional teams.

Preferred Qualifications:

• Experience with data governance and security best practices in cloud environments.

• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.

• Experience in working with machine learning and analytics tools for data analysis and reporting.

• Knowledge of data visualization tools (e.g., Power BI, Tableau) is a plus.

• Previous experience working in agile development teams.

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.