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Astro Sirens LLC logo
Astro Sirens LLC

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Senior Data Engineer

Data EngineerData EngineerOtherRemoteSeniorTeam 1-10H1B No SponsorCompany SiteLinkedIn

Location

Bulgaria

Posted

73 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Engineer

Astro Sirens LLC

About Us: WorkGarden (formerly Astro Sirens) 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 libraries to build robust data pipelines and scalable infrastructure.

Job 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:
  • 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.
  • 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.

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