We are currently seeking an experienced professional to join our team in the role of Consultant Specialist.
In this role, you will do:
• Leadership and Team Management. Lead, mentor, and develop a team of data engineers.
• Establish best practices for data engineering and ensure team adherence.
• Coordinate with other IT teams, business units, and stakeholders.
• Data Pipelines Integration and Management:
• Design and implement scalable data architectures to support the bank's data needs.
• Develop and maintain ETL (Extract, Transform, Load) processes.
• Ensure the data infrastructure is reliable, scalable, and secure.
• Oversee the integration of diverse data sources into a cohesive data platform.
• Ensure data quality, data governance, and compliance with regulatory requirements.
• Develop and enforce data security policies and procedures.
• Monitor and optimize data pipeline performance.
• Troubleshoot and resolve data-related issues promptly.
• Implement monitoring and alerting systems for data processes
To be successful in this role, you should meet the following requirements:
• Strong experience with database technologies (SQL, NoSQL), data warehousing solutions, and big data technologies (Hadoop, Spark)
• Experience with OOP practices and familiarity with design patterns and data structures.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
• Deep understanding of ETL processes and data pipeline orchestration tools (Airflow, Apache NiFi).
• Knowledge of data modeling, data warehousing concepts, and data integration techniques.
• Strong problem-solving skills and ability to work under pressure.
• Excellent communication and interpersonal skills.
• Experience in the banking or financial services industry.
• Familiarity with regulatory requirements related to data security and privacy in the banking sector.
• Certifications in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).
• Experience with machine learning and data science frameworks