Senior/Lead Data Engineer

Exadel Inc (Website)•Town of Poland, NY

2d•Hybrid

About The Position

Join Exadel as a Senior/Lead Data Developer and bring logic to life. Solve analytical challenges and build solutions that matter - with a sharp, collaborative team. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client An international consulting firm that helps companies of all sizes have a better impact on the world. Company capabilities focus on supporting the private and public sectors with their people, processes, and digital technology challenges.

Requirements

Strong experience with Google Cloud Platform (BigQuery, DataPlex, DBT, Pub/Sub, Dataflow, Redshift)
Expertise in Oracle SQL, PL/SQL, and working with complex stored procedures and large datasets
Proficiency in programming languages such as Python, Java, or Scala
Experience with streaming and messaging systems (e.g. Jenkins, GitLab), and container orchestration (Kubernetes)
Experience working with Infrastructure as Code, preferably Terraform, to manage cloud data infrastructure.
Deep understanding of data modelling, data warehousing, and ETL/ELT design patterns
Demonstrated team leadership experience
Familiarity with Agile development practices (Scrum, Kanban, Jira)
Exposure to financial markets, trading systems, or related high-performance environments is a strong plus

Nice To Haves

GCP certification (e.g., Professional Data Engineer or similar) will be considered a strong advantage
Experience with Amazon Web Services (AWS)
Knowledge of regulatory reporting, market data, or trade surveillance systems
Experience with Apache Airflow or similar orchestration tools
Understanding of data security practices and compliance frameworks

Responsibilities

Design, build, and maintain scalable data pipelines primarily within Google Cloud Platform
Develop integration and transformation workflows between cloud data services and on-prem Oracle databases
Work closely with trading, risk, and analytics teams to understand data requirements and deliver real-time and batch data solutions
Optimise and monitor performance of data systems to support latency-sensitive trading applications
Collaborate with cross-functional teams using Agile/Scrum methodologies to deliver business-critical data projects, provide technical assistance to the team
Ensure robust data governance, lineage, and compliance (including MiFID II, FCA, and other regulatory standards)
Automate data workflows using Terraform, CI/CD pipelines, and containerisation tools (Docker/Kubernetes)