Dexian
Description:
Global Markets Technology division is seeking a Senior Data Engineer with strong Python skills to analyze datasets of Regulatory Transaction Reporting across multiple jurisdictions and asset classes for OTC Derivatives and FX products. Experience with Dodd-Frank regulatory reporting (CFTC), EMIR, or MiFID II is a plus.
Responsibilities:
The candidate should have experience in designing, building, and maintaining scalable data pipelines using Python to identify patterns, trends, and anomalies. Responsibilities include all phases of SDLC: analysis, design, development, testing, QA, UAT, and tier-2 production support. Design and implement scalable, reliable data pipelines for regulatory reporting data analysis. Analyze large volumes of transactional and reference data to identify issues, patterns, and anomalies. Build automated solutions for data cleansing, transformation, enrichment, and validation to streamline regulatory submissions. Collaborate with compliance and reporting teams to ensure regulatory rules are correctly implemented. Develop frameworks to detect and resolve data exceptions proactively. Work with engineering, architecture, and DevOps teams to optimize performance, auditability, and traceability. Promote data governance, metadata management, and lineage tracking best practices. Provide out-of-hours support as needed. Encourage quality engineering and good coding practices across the organization. Competencies include structured thinking, problem-solving, results orientation, independence, motivation, and strong communication skills. Skills required: - 5+ years in data engineering with expertise in data architecture and pipelines. - Strong Python skills (pandas, NumPy, PySpark) and SQL experience. - Experience with regulatory reporting data (EMIR, CFTC, SEC, MiFID II, etc.) and understanding of trade lifecycle and financial products. - Experience with data pattern recognition, root-cause analysis, and validation frameworks. - Hands-on experience with big data platforms (Apache Spark, Hive, Kafka). - Familiarity with data orchestration tools (Airflow, dbt). - Knowledge of cloud platforms (AWS, GCP, Azure) and data lake/warehouse strategies. - Self-starter who enjoys programming, works well in global teams, and has delivered enterprise projects. - Bachelor's or Master's in Computer Science, Data Engineering, or related field. Experience in financial services is a plus. Dexian is a leading staffing and IT solutions provider with over 12,000 employees worldwide. Formed in 2023 from the merger of DISYS and Signature Consultants, Dexian connects talent, technology, and organizations to achieve impactful results. Visit
https://dexian.com/
to learn more. Dexian is an Equal Opportunity Employer committed to diversity and inclusion.
#J-18808-Ljbffr
Global Markets Technology division is seeking a Senior Data Engineer with strong Python skills to analyze datasets of Regulatory Transaction Reporting across multiple jurisdictions and asset classes for OTC Derivatives and FX products. Experience with Dodd-Frank regulatory reporting (CFTC), EMIR, or MiFID II is a plus.
Responsibilities:
The candidate should have experience in designing, building, and maintaining scalable data pipelines using Python to identify patterns, trends, and anomalies. Responsibilities include all phases of SDLC: analysis, design, development, testing, QA, UAT, and tier-2 production support. Design and implement scalable, reliable data pipelines for regulatory reporting data analysis. Analyze large volumes of transactional and reference data to identify issues, patterns, and anomalies. Build automated solutions for data cleansing, transformation, enrichment, and validation to streamline regulatory submissions. Collaborate with compliance and reporting teams to ensure regulatory rules are correctly implemented. Develop frameworks to detect and resolve data exceptions proactively. Work with engineering, architecture, and DevOps teams to optimize performance, auditability, and traceability. Promote data governance, metadata management, and lineage tracking best practices. Provide out-of-hours support as needed. Encourage quality engineering and good coding practices across the organization. Competencies include structured thinking, problem-solving, results orientation, independence, motivation, and strong communication skills. Skills required: - 5+ years in data engineering with expertise in data architecture and pipelines. - Strong Python skills (pandas, NumPy, PySpark) and SQL experience. - Experience with regulatory reporting data (EMIR, CFTC, SEC, MiFID II, etc.) and understanding of trade lifecycle and financial products. - Experience with data pattern recognition, root-cause analysis, and validation frameworks. - Hands-on experience with big data platforms (Apache Spark, Hive, Kafka). - Familiarity with data orchestration tools (Airflow, dbt). - Knowledge of cloud platforms (AWS, GCP, Azure) and data lake/warehouse strategies. - Self-starter who enjoys programming, works well in global teams, and has delivered enterprise projects. - Bachelor's or Master's in Computer Science, Data Engineering, or related field. Experience in financial services is a plus. Dexian is a leading staffing and IT solutions provider with over 12,000 employees worldwide. Formed in 2023 from the merger of DISYS and Signature Consultants, Dexian connects talent, technology, and organizations to achieve impactful results. Visit
https://dexian.com/
to learn more. Dexian is an Equal Opportunity Employer committed to diversity and inclusion.
#J-18808-Ljbffr