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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable ETL/ELT pipelines and real-time data processing strategies, particularly within cloud environments. Proficient in optimizing data architectures and ensuring data integrity and governance in the finance sector.
Highest-signal resume keywords
ETL/ELT Pipeline DesignReal-Time Data ProcessingClickHouse OptimizationPython ProgrammingSQL Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL ProcessesData EngineeringCloud EnvironmentsSchema DesignIndexing StrategiesQuery PerformanceData GovernanceMonitoring SystemsAutomated RecoveryData Processing Pipelines
Soft Skills
Problem-SolvingCollaborationCommunication
Tools & Technologies
KafkaRabbitMQClickHouse
Industry Keywords
FinanceTrading TechnologyReal-Time Market DataTransactional Data
Tech Stack
Tools & technologiesCloudETLKafkaPythonRabbitMQSQL
About the role
Key responsibilities & impact- Lead the design and evolution of highly scalable, fault-tolerant ETL/ELT pipelines.
- Drive the strategy for real-time messaging and stream processing using Kafka and RabbitMQ to ensure sub-second data availability.
- Act as the subject matter expert for ClickHouse, optimising complex schema designs, indexing strategies, and query performance for large-scale financial datasets.
- Oversee the deployment of data services within cloud environments, implementing advanced security protocols and data governance standards essential for the finance industry.
- Collaborate with senior leadership to align data strategy with business objectives.
- Mentor data engineers through code reviews and technical guidance.
- Implement advanced monitoring and automated recovery systems to ensure the integrity and quality of high-stakes financial data.
Requirements
What you’ll need- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering, with a strong background in designing and implementing ETL processes within cloud environments.
- Experience within the Finance or Trading technology sector, with a proven track record of handling real-time market or transactional data.
- Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines.
- Extensive SQL knowledge and experience.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Benefits
Comp & perks- Competitive salary and performance-based bonuses.
- Opportunities for career growth and development within a global company.
- Collaborative and inclusive work environment with exposure to cross-region operations.
- Health and wellness benefits.
- Flexible working arrangements.