Standard Data Engineer

About the role

• As a Standard Data Engineer, you will be responsible for developing and maintaining efficient pipelines, applying design patterns, collaborating on data modeling, implementing cloud solutions, managing Kubernetes environments, and designing workflows with Airflow.

What you would do

• Develop and maintain a robust and scalable data architecture capable of handling large volumes of financial data efficiently and securely.
• Gather data from various sources such as financial transactions, market data, customer information, etc.
• Administrating SOC configuration and managing log monitoring system and alerts.
• Create and maintain automated data pipelines to move, transform, and load data efficiently from source systems to target systems.
• Optimize the performance of queries and ETL (Extract, Transform, Load) processes to ensure fast response times and efficiency in data processing.
• Work closely with engineering teams, analysts, data scientists, and other stakeholders to understand the business data needs and deliver effective solutions.

What you will need to succeed

• Bachelor’s degree in Software Engineering, Electric Engineering or related fields
• 3+ years of hands-on experience in Ethical Hacking
• Interest in developing ethical hacking and SOC management related skills.
• Proficiency in at least one programming language commonly used in data engineering, such as Python, Java, Scala, or SQL.
• Intermediate English level in order to read alerts and interpret their meaning.
• Strong understanding of SQL for querying and manipulating relational databases.
• Design and implementation of ETL processes for data integration.
• Familiarity with data warehousing concepts and platforms (e.g., Amazon Redshift, Google BigQuery, Snowflake).