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Senior Data Engineer for Seeking Alpha (#14146977)

Remote, Dnipro, Vinnytsia, Zaporizhzhia, Lviv
Technical Level:
Job Category:
Software Development
Seeking Alpha

About the client

Seeking Alpha is the market leader for crowdsourced equity research in the USA. The company is the premier website for actionable stock market opinion and analysis, and vibrant, intelligent finance discussion. 


  • Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality 
  • Contribute to the core design of data architecture, data models and schemas, and implementation plan 
  • Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores 
  • Design, build, and maintain the infrastructure for ingesting data into our data lake and data warehouse and providing frameworks and services for operating on that data 
  • Design, build, and maintain the infrastructure for real-time streaming analytics, big data analytics, and machine learning analytics capabilities Implement data privacy and data security requirements to ensure solutions stay compliant with security standards and frameworks 
  • Enhance the team’s dev-ops capabilities


  • Bsc in CS/Mathematics/Statistics/Physics/EE or equivalent experience
  • 5+ years of proven experience developing large-scale software using an object-oriented or a functional language
  • Outstanding Software Engineering skills
  • Proven experience with cloud-based data pipeline/Back End services, using AWS
  • Proficient with relational and non-relational data modeling
  • Proficient with stream processing using the current industry standards (e.g. Akka, AWS Kinesis, Kafka, Spark, Flink, etc.)
  • Familiarity with a variety of big data frameworks and tools, including EMR, Athena, Glue, Airflow, etc.
  • High-level English – a must
  • A team player with excellent collaboration skills

Nice to have: 

  • Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment
  • Experience with building Machine Learning models
  • Experience with Data Lineage
  • Deep knowledge of Spark internals (tuning, query optimization)

We offer:

  • Flexible hours approach
  • Competitive salary and compensation package
  • 18 business days of payable annual free-time
  • 10 days of paid sick leave
  • Membership of the IT-BPO club card, loyalty program.
  • Gym, Masseur, and Doctor
  • Relax zones

Professional growth:

  • Challenging tasks and projects
  • Individual Development Plan
  • Personal education budget
  • Performance appraisal
  • Business trips


  • Corporate events and outstanding parties
  • Team buildings
  • Anniversary presents