Data Platform Engineer with devops and current banking exp
Salary undisclosed
Apply on
Original
Simplified
- Data Architecture: Design and implement scalable data architectures that support our business needs.
Must have 7+ years of experience with Devops - Required current project with banking client
- Data Pipeline Development: Build and maintain robust data pipelines for ingestion, processing, and storage of large datasets.
- ETL Processes: Develop and optimize ETL processes to ensure data is accurate, consistent, and timely.
- Database Management: Manage and optimize various database systems, ensuring high availability and performance.
- Collaboration: Work with data scientists and analysts to understand their data needs and provide support for analytics and reporting.
- Monitoring and Maintenance: Implement monitoring solutions to ensure data quality and system performance; troubleshoot and resolve issues as they arise.
- Documentation: Maintain thorough documentation of data architecture, processes, and workflows.
- Security Compliance: Ensure data governance and security policies are adhered to across the data platform.
Qualifications:
- Education: Bachelor s degree in Computer Science, Information Technology, or a related field.
- Experience: [X] years of experience in data engineering, data warehousing, or a related field.
- Technical Skills: Proficiency in programming languages such as Python, Java, or Scala; experience with SQL and NoSQL databases.
- Tools and Technologies: Familiarity with data platforms such as Apache Hadoop, Spark, Kafka, and cloud services (AWS, Azure, Google Cloud Platform).
- Data Modeling: Strong understanding of data modeling concepts and best practices.
- Problem-Solving: Excellent analytical and problem-solving skills with a detail-oriented mindset.
- Communication: Strong verbal and written communication skills; ability to collaborate effectively with cross-functional teams.
Preferred Qualifications:
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Knowledge of data visualization tools (Tableau, Power BI).
- Familiarity with machine learning frameworks and libraries.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Similar Jobs