Data Engineer - Remote US

We are seeking an experienced Data Engineer with a minimum of 3 years of experience in building data ingestion pipelines for large datasets. As a key player in our team, you will be responsible for designing, building, and managing our data infrastructure, supporting our data-driven decision-making capability. You'll need to be proficient in Python, AWS, and common frameworks used for data ingestion, transformation, and consolidation. The ideal candidate will be passionate about data, a strong team player, and have a continuous learning mentality.

• Design, develop and optimize data ingestion pipelines for real-time and batch data streams using various sources.
• Utilize extensive knowledge of Python and AWS to engineer solutions for transforming, consolidating, and storing large datasets.
• Collaborate with data scientists and stakeholders to understand data needs and translate them into data systems and pipelines.
• Enhance the data ecosystem by implementing industry best practices for testing, deployment, and runtime environments.
• Drive continuous improvements in data reliability, efficiency, and quality.
• Document data architectures, procedures, and data flows, maintaining excellent communication with the team and stakeholders.
• Monitor data systems performance, troubleshoot data issues, perform root cause analysis, and implement optimal solutions.
• Participate in data governance and ensure adherence to data security and privacy standards.
• Minimum of 3 years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Python, AWS, and common frameworks used in data ingestion and transformation.
• Hands-on experience in building and optimizing large-scale data pipelines, architectures, and datasets.
• Knowledge of data warehousing concepts.

• Minimum of 3 years of experience as a Data Engineer or in a similar role
• Proficiency in Python, AWS, and common frameworks used in data ingestion and transformation
• Experience in building data ingestion pipelines for large datasets
• Ability to design, develop, and optimize data ingestion pipelines for real-time and batch data streams
• Knowledge of data warehousing concepts
• Collaboration skills to work with data scientists and stakeholders to understand data needs and translate them into data systems and pipelines
• Familiarity with industry best practices for testing, deployment, and runtime environments in data ecosystems
• Strong problem-solving skills to troubleshoot data issues and perform root cause analysis
• Documentation skills to create data architectures, procedures, and data flows
• Understanding of data governance and adherence to data security and privacy standards

• Competitive salary and compensation package
• Opportunity to work with large datasets and build data ingestion pipelines
• Chance to contribute to data-driven decision-making capability
• Proficiency in Python, AWS, and common frameworks for data ingestion, transformation, and consolidation
• Passionate and collaborative team environment
• Continuous learning and professional growth opportunities
• Positive culture and work environment
• Impactful work that contributes to the growth of the company
• Design and optimize data ecosystems using industry best practices
• Documentation of data architectures and procedures
• Monitoring and troubleshooting of data systems
• Adherence to data security and privacy standards
• Potential for working with other programming languages and big data tools (Java, Scala, Hadoop, Spark)