About the job
We are on the lookout for an exceptional Senior Data Engineer to architect, construct, and sustain scalable data pipelines for our enterprise-level data platforms focused on the Risk & Compliance sector. The successful candidate will possess a deep understanding of PySpark, Python, and data engineering best practices, emphasizing data quality, governance, and security.
Key Responsibilities
- Design, develop, and enhance scalable data pipelines leveraging PySpark and Python
- Create robust ETL/ELT workflows to manage substantial volumes of both structured and unstructured data
- Collaborate with data scientists, analysts, and business stakeholders to produce high-quality datasets
- Guarantee data integrity, accuracy, and reliability through comprehensive validation frameworks and monitoring
- Implement data security and access control mechanisms that align with compliance standards
- Partner closely with Risk & Compliance teams to fulfill regulatory and reporting obligations
- Optimize the performance of data processing jobs and queries
- Maintain and upgrade existing data architecture and pipelines
Required Skills & Experience
- 6+ years of experience in Data Engineering
- Extensive hands-on experience with PySpark and Python
- Solid background in SQL and Oracle databases
- Proven experience in constructing and managing large-scale data pipelines
- Strong understanding of data warehousing concepts and ETL frameworks
- Experience with data validation, data quality, and governance frameworks
- Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
- Experience in the banking, financial services, or risk & compliance domain is preferred
Key Competencies
- Strong analytical and problem-solving skills
- Adept at working in a fast-paced, collaborative environment
- Excellent communication and stakeholder management abilities
- Meticulous attention to detail, especially regarding data quality and security
Nice to Have
- Experience with Big Data ecosystems (Hadoop, Spark)
- Knowledge of data security and regulatory compliance frameworks
- Prior experience with enterprise data platforms

