Homeoffice Data Engineer with verification

Requirements:

• 5+ years of Python development experience.
• Experience with AWS, including services like DynamoDB, S3, EMR, Glue, Athena, and Redshift.
• Knowledge of distributed computing engines, such as Apache Spark.
• Proficiency in both relational and non-relational databases, along with data modeling expertise.
• Experience setting up code pipelines using CloudFormation or Terraform.
• Familiarity with ETL pipeline development in OLAP and Data Warehouse environments.
• Hands-on experience with orchestration tools like Airflow.
• Understanding of serverless architectures and scalable application design principles.
• Proficiency with version control systems, particularly Git.
• Experience with Node.js, DevOps, and CI/CD practices is a plus.
• Background in cloud technologies (AWS or Azure) and fintech or banking is desirable.

Responsibilities:

• Design and implement scalable data pipelines in a horizontally scaled environment.
• Collaborate with cross-functional teams to understand business needs and define transactional scenarios across multiple microservices.
• Write high-quality, maintainable code that meets established standards and best practices.
• Build strong relationships with clients by understanding their business model and delivering solutions that align with their goals.
• Influence and communicate effectively at all levels, including management and engineering teams.
• Utilize distributed computing systems to transform and manage large datasets efficiently.
• Work with cloud-based technologies such as AWS to support the company’s data infrastructure.
• Contribute to continuous integration/continuous delivery (CI/CD) pipelines and DevOps practices.
• Collaborate with data scientists to ensure the availability and accessibility of critical insights for decision-making.