Devexperts Global

Devexperts works with respected financial institutions, delivering products and tailor-made solutions for retail and brokerage houses, exchanges, and buy-side firms. The company focuses on trading platforms and brokerage automation, complex software development projects, market data products, and IT consulting services. 

We are looking for a Senior Data Engineer with a Java / Scala / Python background to join the project for a Top-5 US retail broker (by the number of users). Our current project is devoted to trading experience, finance reports, and risk management.

You will join a cross-functional team that excels in getting features done from zero to production.

We expect the Senior Data Engineer to: 

1. Develop Data Pipeline:

• Design, develop, and maintain robust data pipelines using Java within AWS infrastructure,
• Implement scalable solutions for data analysis and transformation using Apache Spark and PySpark,
• Utilise Airflow for efficient workflow orchestration in complex data processing tasks,
• Ensure fast and interactive querying capabilities through the use of Presto.

2. Manage Infrastructure:

• Containerise applications using Docker for streamlined deployment and scaling,
• Orchestrate and manage containers effectively with Kubernetes in production environments,
• Implement infrastructure as code using Terraform for provisioning and managing AWS resources.

3. Collaborate and Communicate:

• Collaborate with cross-functional teams to understand data requirements and architect scalable solutions aligned with business goals,
• Ensure data quality and reliability through robust testing methodologies and monitoring solutions,
• Stay updated with emerging technologies and industry trends to continuously enhance the data engineering ecosystem.

Must-have skills: 

1. Education and Experience:

• Bachelor's degree in Computer Science, Engineering, or related field,
• Minimum 5 years of hands-on experience in Java / Scala / Python development, emphasising object-oriented principles.

2. Technical Proficiency:

• Proficiency in Apache Spark or PySpark for large-scale data processing,
• Experience with Airflow for workflow orchestration in production environments,
• Familiarity with Docker for containerisation and Kubernetes for container orchestration,
• Experience managing AWS services such as S3, EMR, Glue, Athena, and Redshift,
• Strong background in SQL and relational databases.

3. Communication Skills:

• Excellent English language communication skills, both verbal and written,
• Ability to collaborate effectively with technical and non-technical stakeholders.

Nice-to-have skills: 

• Experience with streaming platforms such as Kafka for real-time data processing,
• Knowledge of Terraform for infrastructure as code implementation in AWS environments.

• Paid vacation 20 + 5 days
• Free MultiSport card
• Medical insurance – premium package
• Мodern office space
• Panoramic view of Vitosha mountain
• Gym & billiard in the office
• Parking spot or public transport card
• Mentorship program
• Training, courses, workshops
• Paid pro certifications
• Subscriptions to pro sources
• Participation in conferences
• English courses
• Trading contest within the company
• Tech meetup dxTechTalk
• Speaker's club
• Opportunity to develop your personal brand as a speaker
• Internal referral program
• Remote work / Hybrid mode
• Flexible schedule
• Work & Travel program
• Relocation opportunities