Data Engineer with German language - Closed

The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation pipelines for large-scale organizations. We are seeking someone with deep technical skills in a variety of data warehouse-related technologies to play an important role in developing and delivering early proofs of concept and production implementation. The successful candidate will have hands-on experience in a multitude of data domains; including, but not limited to; 24 x 7 x 365 enterprise and cloud data warehouse and reporting solutions and management, design and build data warehouse models, ETL development, performance tuning, service delivery, incident tracking, and change management.

Requirements

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or related field preferred.
• 8+ years of overall software development experience is required primarily with Data warehouse applications.
• 3+ years of hands-on development experience in a Cloud-based data warehouse platform.
• 3+ years of hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle, etc.); experience with complex stored procedures and functions using SQL.
• 3+ years of development experience with Python scripting experience.
• 2+ years of development experience with ETL tools (Informatica, Talend, Azure Data Factory, etc.).
• Strong knowledge and experience in OLAP data modeling & design.
• Demonstrated expertise in performance tuning in various DB environments with large volumes of data.
• Experience building and scaling distributed, highly available systems in cloud env (Azure / AWS).
• Expertise in understanding complex business needs, analyzing, designing, and developing solutions.
• Communication and professional skills and the ability to navigate relationships across business units.

Responsibilities

• Architecting and maintaining the Operational data stores (ODS), Enterprise Data Warehouse (EDW), and associated data intelligence environments including data lakes, data marts, and metadata repositories.
• Designing and implementing high-performance data movement pipelines using multiple ETL tools with batch and real-time event data streams (Informatica, Databricks, Azure Event Hub, SQL Packages, etc.).
• Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data, and implementing various large-scale settlement and reconciliation frameworks.
• Gathering business and information requirements from various product owners across various functional units.
• Designing and creating data architecture and data flow diagrams and collaborating with peers to translate requirements into logical and physical data models.
• Conducting design review sessions and communicating design artifacts with stakeholders.
• Ensures database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.
• Delivering and presenting proofs of concept of key technology components to project stakeholders and internal technology leaders
• Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data, and implementing various large-scale settlement and reconciliation frameworks.
• Leading and coordinating the design and operationalization of Master Data Management and Data Governance initiatives including custom-developed solutions.
• Working with other members of the project team to support the delivery of additional project components associated with the cloud data platform.
• Problem-solving of Data warehouse and ODS application issues and production errors, including high-level critical production issues that require immediate attention.
• Perform other duties as assigned including major new project initiatives.

With us you can:

Improve your soft skills:

• Build strong teamwork skills and become an essential part of dynamic teams;
• Improve your English at classes and speaking directly with clients;
• Increase your productivity and communication level via Scrum, Kanban, Agile methodologies.

Develop your technical knowledge:

• Use the latest technologies;
• Participate in technical events and conferences (the cost is covered by the company);
• Regular techtalks and professional development.