Role: Sr. Data Engineer (2 positions)
Exp: 7 to 15 Overall
Hybrid 3 days to Dublin office
2 rounds of Interview with client (1 would be b Teams & final will be face to face)
Senior Data Engineer
Overview
Are you passionate about building scalable data solutions and ensuring data integrity in high-impact financial technology Do you thrive in solving complex data challenges while maintaining rigorous quality standards
Join the team behind Crypto Secure a cutting-edge risk assessment platform helping banks gain visibility into crypto spend transaction volumes and AML risk exposure. Working with modern technologies like Snowflake Hadoop Spark NiFi and cloud-native architectures youll play a dual role: designing robust data pipelines and implementing comprehensive testing strategies to guarantee reliability and trust.
Role Responsibilities
Data Engineering & Platform Development
- Design build and maintain scalable data pipelines using Snowflake Hadoop Spark NiFi and related big data technologies.
- Implement data architectures and optimize workflows for massive financial datasets.
- Write high-quality maintainable code in Python and SQL following best practices.
- Integrate data governance principles metadata management and lineage tracking into solutions.
Data Quality Assurance & Testing
- Develop automated testing frameworks and validation scripts for ETL processes and data transformations.
- Implement data quality checks reconciliation processes and regression testing suites to ensure accuracy completeness and timeliness.
- Perform unit integration and end-to-end testing for data pipelines and schema changes.
- Use tools like dbt tests custom Python utilities for automated validation.
Collaboration & Agile Delivery
- Work closely with Data Engineers Product and Data Science teams to embed testing into the development lifecycle.
- Participate in agile ceremonies (sprint planning backlog refinement retrospectives) with a focus on quality and delivery.
- Support production incident response with rapid data validation and root cause analysis.
Continuous Improvement
- Stay current with emerging data engineering and testing technologies.
- Contribute to team knowledge sharing mentoring junior engineers and improving technical standards.
- Shape best practices for data reliability testing automation and CI/CD integration.
Skills & Qualifications
Core Technical Expertise
- Advanced SQL and experience with relational and NoSQL databases.
- Strong experience with Snowflake Hadoop Spark Databricks Kafka and cloud data platforms.
- Proficiency in Python for both data engineering and test automation.
- Familiarity with orchestration tools and workflow management systems.
Testing & Quality
- Proven experience in data testing methodologies ETL validation and automated testing frameworks.
- Knowledge of data profiling anomaly detection and statistical validation techniques.
- Experience integrating testing into CI/CD pipelines.
Professional Attributes
- Strong problem-solving and analytical skills with attention to detail.
- Excellent communication skills for cross-functional collaboration.
- Ability to work independently and manage multiple priorities in fast-paced environments.
Why Youll Love This Role
- Work on cutting-edge fintech solutions at the intersection of cryptocurrency risk management and compliance.
- Combine engineering and quality expertise to deliver trusted high-performance data platforms.
- Collaborate with talented engineers and data scientists in a culture that values technical excellence and continuous learning.
- Opportunities for career growth in both data engineering and data quality leadership.
Role: Sr. Data Engineer (2 positions)Exp: 7 to 15 OverallHybrid 3 days to Dublin office2 rounds of Interview with client (1 would be b Teams & final will be face to face)Senior Data EngineerOverview Are you passionate about building scalable data solutions and ensuring data integrity in high-impact...
Role: Sr. Data Engineer (2 positions)
Exp: 7 to 15 Overall
Hybrid 3 days to Dublin office
2 rounds of Interview with client (1 would be b Teams & final will be face to face)
Senior Data Engineer
Overview
Are you passionate about building scalable data solutions and ensuring data integrity in high-impact financial technology Do you thrive in solving complex data challenges while maintaining rigorous quality standards
Join the team behind Crypto Secure a cutting-edge risk assessment platform helping banks gain visibility into crypto spend transaction volumes and AML risk exposure. Working with modern technologies like Snowflake Hadoop Spark NiFi and cloud-native architectures youll play a dual role: designing robust data pipelines and implementing comprehensive testing strategies to guarantee reliability and trust.
Role Responsibilities
Data Engineering & Platform Development
- Design build and maintain scalable data pipelines using Snowflake Hadoop Spark NiFi and related big data technologies.
- Implement data architectures and optimize workflows for massive financial datasets.
- Write high-quality maintainable code in Python and SQL following best practices.
- Integrate data governance principles metadata management and lineage tracking into solutions.
Data Quality Assurance & Testing
- Develop automated testing frameworks and validation scripts for ETL processes and data transformations.
- Implement data quality checks reconciliation processes and regression testing suites to ensure accuracy completeness and timeliness.
- Perform unit integration and end-to-end testing for data pipelines and schema changes.
- Use tools like dbt tests custom Python utilities for automated validation.
Collaboration & Agile Delivery
- Work closely with Data Engineers Product and Data Science teams to embed testing into the development lifecycle.
- Participate in agile ceremonies (sprint planning backlog refinement retrospectives) with a focus on quality and delivery.
- Support production incident response with rapid data validation and root cause analysis.
Continuous Improvement
- Stay current with emerging data engineering and testing technologies.
- Contribute to team knowledge sharing mentoring junior engineers and improving technical standards.
- Shape best practices for data reliability testing automation and CI/CD integration.
Skills & Qualifications
Core Technical Expertise
- Advanced SQL and experience with relational and NoSQL databases.
- Strong experience with Snowflake Hadoop Spark Databricks Kafka and cloud data platforms.
- Proficiency in Python for both data engineering and test automation.
- Familiarity with orchestration tools and workflow management systems.
Testing & Quality
- Proven experience in data testing methodologies ETL validation and automated testing frameworks.
- Knowledge of data profiling anomaly detection and statistical validation techniques.
- Experience integrating testing into CI/CD pipelines.
Professional Attributes
- Strong problem-solving and analytical skills with attention to detail.
- Excellent communication skills for cross-functional collaboration.
- Ability to work independently and manage multiple priorities in fast-paced environments.
Why Youll Love This Role
- Work on cutting-edge fintech solutions at the intersection of cryptocurrency risk management and compliance.
- Combine engineering and quality expertise to deliver trusted high-performance data platforms.
- Collaborate with talented engineers and data scientists in a culture that values technical excellence and continuous learning.
- Opportunities for career growth in both data engineering and data quality leadership.
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