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Project Overview:

We are looking for highly motivated and result-oriented Senior Data Technical Lead, who can join our team in development of real-time data platform for Retail Bank in Ukraine.

Team will be responsible for platform solution design and development with ambition plan to grow and onboard new teams & business hypothesis to this platform.

Project goal to implement real-time Data Platform solution with ML&AI within the following capabilities:

  • Core Data Platform;
  • Onboarded Data Producer/Consumer Applications, Configuration & Customisations;
  • Onboarding & Management of Data Producer/Consumer Applications;
  • Application, Data Source, Job, Job Data, Job Steps, and Data Access Taxonomies;
  • Standardized Push/Pull Streaming Ingestion Interfaces;
  • Standardized Push/Pull Batch Ingestion Interfaces;
  • Polyglot Data-lake Storage (e.g., Bucket, KV, NoSQL, Search, Warehouse, SQL, etc.) and many other features.

Responsibilities:

  • Define the technological vision and lead the design of new services or new features and tools when current options do not meet business needs;
  • Determine any necessary services and tool enhancements to meet project needs and ensure the feasibility of these upgrades;
  • Ensure the coherence, efficiency, scalability, modularity, and compatibility of the features developed by the team;
  • Analyze and resolve engineering issues pertaining to the services, tools, and/or middleware;
  • In collaboration with the technical directors, communicate the technical constraints of the engines and tools to team members to inform them on production options and related best practices;
  • Define the measures required to ensure the data engines optimal performance;
  • Act as a point of contact for all technical issues on the data services and tools;
  • Manage development teams;
  • Anticipate technological advances, understand the issues brought about by new hardware, and implement software systems that support these changes and possibilities;
  • Oversee the design of multiple data models and have a broad understanding of how each model fulfills the needs of the business from technical point of view.

Requirements:

  • Must be proficient with DATAHUB solutions/patterns which include ODL(Operational Data Lake), ODS (Operational Data Store) and ADL(Analytic Data Lake);
  • Must be proficient with Clouds generally and proficiently build the Cloud-Native solutions and tools to design BigData PaaS/IaaS;
  • Must be proficient with BigData Ingestion technologies generally and associated with Cloud technologies specifically;
  • Must be proficient with BigData Processing/Transformation technologies generally and associated with Cloud technologies specifically;
  • Must be proficient with BigData Storage technologies generally and associated with Cloud technologies specifically;
  • Must be proficient with BigData Access technologies generally and associated with Cloud technologies specifically;
  • Must be proficient with BigData technologies generally and associated with Cloud technologies specifically;
  • Data innovation. You can identify areas of innovation in data tools and techniques and recognize appropriate timing for adoptio;
  • Microservices & API Processors; 
  • Query API (e.g., J/ODBC); 
  • Bucket, KV, NoSQL, Search, Warehouse, SQL;
  • Experience with RBAC (Role-Based Access Controls).

Higher Education: Bachelor’s Degree or higher in IT, Applied Mathematics or similar.

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