GCP Data Engineer / Consultant Specialist

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