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The Database Specialist is a senior position in the Info Security Assessments team and a crucial role in building data-driven solutions to design, build, and maintain scalable data pipelines and solutions that enhance our ability to assess, report, and mitigate cybersecurity risks effectively.
Job Responsibility:
Design and implement efficient database structures to ensure optimal performance and support analytics
Design, implement, and optimize secure data pipelines to ingest, process, and store large volumes of structured and unstructured data from diverse sources, including vulnerability scans, security tools, and assessments
Work closely with stakeholders to provide clean, structured datasets that enable advanced analytics and insights into cybersecurity risks, trends, and remediation activities
Partner with the Reporting and Analytics lead to automate repetitive data-related tasks, such as reporting, data enrichment, and aggregation, to streamline the assessment process
Collaborate with stakeholders and the Security Assessments teams to integrate data from multiple sources, create reusable data models, and ensure data quality, consistency, and accuracy
Partner with cross-functional teams, including IT, Risk, Compliance, and other cybersecurity groups, to ensure data solutions align with organizational goals and regulatory requirements
Implement robust security controls for data storage, transfer, and access to protect sensitive information in compliance with the bank’s security policies and industry standards
Monitor data pipelines and systems for performance and reliability, troubleshoot issues, and implement enhancements to improve system uptime and efficiency
Conduct a thorough assessment of the existing database landscape, including software versions, configurations, and data structures
Support in the migration plan to transition databases from various platforms (e.g., Oracle, SQL Server, MySQL, MS SQL, PostgreSQL) to the new centralized platform
Establish data migration processes to ensure seamless and accurate transfer of data between systems
Coordinate with application teams to manage the impact of database migrations and ensure a smooth transition
Provide comprehensive documentation and knowledge transfer to support the ongoing maintenance of the new database environment
Requirements:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
3+ years of experience as a Data Engineer or similar role in a data-driven environment
Proficiency in programming languages such as Python, Java, or Scala
Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend)
Proficiency in querying, transforming, and automation using SQL, Python, PowerShell, or similar languages
Strong understanding of data design techniques and best practices for database architecture
Experience with data storage solutions (e.g., Snowflake, AWS S3, Google BigQuery)
Basic understanding of cybersecurity concepts, risk assessments, and vulnerability management tools (e.g., Nessus, Qualys)
Awareness of data privacy regulations (e.g., GDPR, CCPA) and secure data handling practices
Strong analytical, problem-solving, and communication skills
Ability to work in a fast-paced, collaborative environment with global teams
Detail-oriented with a commitment to maintaining data accuracy and integrity
Excellent collaboration abilities
Nice to have:
Experience in the financial services sector or similar regulated industries
Familiarity in database management systems (e.g., Oracle, Microsoft SQL Server, MySQL, PostgreSQL)
Experience with BI and visualization tools (e.g., Tableau, Power BI)
Proven track record of successfully migrating databases between different software platforms
Certifications such as AWS Certified Data Analytics, Cloudera Certified Data Engineer, or equivalent
Familiarity with distributed computing systems such as Hadoop, Spark, or Kafka
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