Senior Data Engineer in Avenga

We are a leading institution in the banking and financial sector, dedicated to providing innovative solutions and exceptional services to our clients. Our commitment to technological advancement and data-driven decision-making positions us at the forefront of the industry. We are looking for a highly skilled Data Engineer to join our dynamic team and contribute to our data infrastructure and analytics capabilities.

As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure. You will work closely with various teams to ensure the seamless flow of data across our systems, enabling data-driven insights and strategic decision-making.

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
• Proven experience as a Data Engineer, preferably in the banking or financial sector.
• Strong expertise in PostgreSQL, MySQL, MSSQL, and Oracle Cloud.
• Proficient in using Airbyte for data integration and ETL processes.
• Experience with Clickhouse for analytics.
• Knowledge of Kafka for real-time data streaming.
• Familiarity with data warehousing concepts and data modeling.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Proficiency in building and documenting data solutions.
• Experience with Power BI and Power BI Server for developing reports and dashboards.
• Familiarity with Grafana for real-time monitoring and visualization.
• Expertise in Google Cloud Platform (GCP) with a focus on big data and predictive analysis.
• Strong QA skills to test data consistency and implement testing procedures for Power BI dashboards.
• Preferred Skills:
• Experience with other cloud platforms such as AWS or Azure.
• Proficiency in programming languages like Python or Java.
• Knowledge of data governance and regulatory requirements in the financial sector.

We are a leading institution in the banking and financial sector, dedicated to providing innovative solutions and exceptional services to our clients. Our commitment to technological advancement and data-driven decision-making positions us at the forefront of the industry. We are looking for a highly skilled Data Engineer to join our dynamic team and contribute to our data infrastructure and analytics capabilities.

As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure. You will work closely with various teams to ensure the seamless flow of data across our systems, enabling data-driven insights and strategic decision-making.

,[Data Pipeline Development: Design and implement data pipelines using technologies such as Airbyte, Kafka, and other ETL tools., Database Management: Develop and maintain databases, ensuring optimal performance, using PostgreSQL, MySQL, MSSQL, and Oracle Cloud., Analytical Integration: Integrate and manage Clickhouse for analytical workloads., Collaboration: Workwith cross-functional teams to understand data requirements and deliver solutions that meet business needs., Data Quality Assurance: Ensure data quality, consistency, and security across all systems., System Monitoring: Monitor and troubleshoot data systems, ensuring high availability and reliability. Utilize Grafana for real-time monitoring and visualization., Documentation: Document processes, standards, and best practices for data engineering activities., Power BI Development: Develop Power BI reports and dashboards, including managing Power BI Server, to support data-driven decision-making., Big Data and Predictive Analysis: Leverage Google Cloud Platform (GCP) services to handle big data and predictive analysis, ensuring advanced data insights and forecasting capabilities., Quality Assurance: Test data consistency and implement testing procedures for Power BI dashboards to ensure accuracy and reliability., Continuous Improvement: Stay updated with the latest industry trends and technologies to continuously improve our data infrastructure.] Вимоги: Degree, MySQL, MSSQL, Oracle, Cloud, ETL, Kafka, BI, Grafana, Google cloud platform, Big data, QA, Testing, PostgreSQL, Cloud platform, AWS, Azure, Python, Java Бонуси та переваги: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Canteen, Playroom, Shower, Free snacks, Free beverages, Free parking, In-house trainings, No dress code.