Astro Sirens LLC is seeking a talented and experienced Mid-Senior Data Engineer to join our dynamic team. Our company harnesses advanced data analytics to drive insights and decision-making for our clients across various industries. As a Mid-Senior Data Engineer, you will play a critical role in building and maintaining robust data pipelines, ensuring that our data is accessible, reliable, and ready for analysis. You will collaborate closely with data scientists, analysts, and other stakeholders to design and implement scalable data solutions that foster data-driven innovation. We are looking for a proactive individual who thrives in a fast-paced environment and is passionate about leveraging technology to solve complex data challenges. In this role, you will utilize your expertise in data modeling, ETL processes, and cloud technologies to enhance our data infrastructure. If you are ready to advance your career in data engineering and make a significant impact within a forward-thinking company, Astro Sirens LLC is the perfect place for you. Join us in our mission to transform data into actionable insights and drive success for our clients.
Responsibilities
- Design, build, and maintain scalable data pipelines to support analytics and business intelligence needs.
- Collaborate with cross-functional teams to define data requirements and develop effective data solutions.
- Implement data quality checks and validation processes to ensure the accuracy and reliability of our data.
- Optimize and improve existing ETL processes to enhance performance and efficiency.
- Monitor and troubleshoot data issues, providing timely resolutions and documentation for reference.
- Utilize cloud-based platforms to manage and store data, ensuring security and compliance with industry standards.
- Continuously evaluate new technologies and tools, making recommendations to enhance data engineering practices.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
- Proven experience as a Data Engineer or in a similar role, with a strong portfolio of successful projects.
- Proficiency in SQL and experience with other programming languages such as Python or Java.
- Hands-on experience with ETL tools and data integration techniques in cloud environments.
- Solid understanding of data warehousing concepts and design principles.
- Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks.
- Excellent problem-solving skills and attention to detail, with a strong ability to communicate complex technical concepts to non-technical stakeholders.
Benefits
- Paid Time Off
- Work From Home
- Training & Development
- Performance Bonus