Cloud Data Engineer- Senior

6 dni temu


Gdańsk, Polska Remodevs Pełny etat
We are seeking a skilled and forward-thinking Cloud Data Engineer to play a key role in transforming our data landscape as we migrate from SQL Server to Snowflake on AWS. You will work closely with stakeholders and cross-functional teams to build robust data solutions, tackling complex challenges and contributing to the implementation of cutting-edge technologies. Your expertise in Snowflake and cloud data engineering will be
instrumental in driving operational efficiency, innovation, and a culture of data-driven
The role involves designing and maintaining scalable, secure data workflows that streamline the migration from on-premises SQL Server environments to Snowflake on AWS. Through innovative solutions, the Cloud Data Engineer enables efficient data processing, while ensuring governance, compliance, and alignment with IPF’s global data strategy. Their work directly supports the seamless flow of data to business users and data consumers, empowering them to harness actionable insights for operational excellence and innovation. Collaboration is at the heart of the role, with the Cloud Data Engineer working closely with data architects, governance leads, and analytics teams. By delivering clean, accessible data, they create the foundation for advanced analytics, reporting, and data-driven initiatives. This is a unique opportunity to influence the organisation’s journey towards becoming a data-led enterprise, making data a strategic asset that drives sustained growth and success.

Design, develop, and maintain data pipelines to ensure seamless and efficient data migration from on-premise SQL Server to Snowflake on AWS, enabling secure, scalable, and reliable data storage that supports advanced analytics and reporting needs.

Snowflake, ensuring high data quality, consistency, and accessibility, which drives accurate, timely insights for business users across the organisation.

Optimise Snowflake performance by enhancing query speeds, data load times, and storage efficiency, ensuring that the data platform remains fast, responsive, and capable of handling high data volumes, which supports the organisation’s operational and analytical requirements.

Enforce data security and compliance measures by applying best practices in data encryption, access controls, and adherence to relevant regulatory standards, ensuring sensitive information remains protected and compliant throughout the migration and within
Snowflake.

Collaborate with data scientists, analysts, and key stakeholders to gather and understand data requirements, aligning Snowflake infrastructure and solutions with business needs and fostering cross-team communication to deliver reliable and actionable data.

Evaluate and recommend complementary tools and technologies that enhance Snowflake’s capabilities, keeping the data platform adaptable and current with evolving cloud technologies to ensure the organisation maximises the value of its cloud infrastructure.

Lead migration efforts from on-premise to cloud-based infrastructure, coordinating with the Global Data Engineering Lead to establish timelines and address migration challenges, ensuring a smooth transition with minimal business disruption.

Document and maintain data infrastructure processes and standards within the Snowflake platform to ensure knowledge sharing, consistency, and ease of maintenance, supporting long-term operational stability and team efficiency.

Extensive Experience with Cloud Data Platforms: The ideal candidate will have significant experience with Snowflake and SQL-based data warehouses, particularly in designing and managing cloud-based data architectures. ETL processes, data pipeline design, and AWS cloud infrastructure is essential. This expertise should translate into the ability to develop secure, scalable, and efficient data solutions that drive organisational goals.

● Proven Expertise in Data Migration: We are seeking someone with a strong track record in supporting or leading data migrations, especially transitioning from on-premise SQL Server environments to cloud-based platforms like Snowflake. The ability to optimise data systems for speed, scalability, and reliability—combined with knowledge of query optimisation and performance enhancement techniques within Snowflake—is a key requirement.

● Strong Understanding of Data Security: Familiarity with best practices for securing cloud-based systems, including encryption, access control, and compliance with regulatory standards, is critical. The candidate will ensure data security is upheld across all workflows and architectures.

● Excellent Communication and Stakeholder Engagement: Exceptional communication skills are essential, as the candidate will work with both technical and non-technical stakeholders to translate complex data processes into actionable insights. Proactive Problem-Solving and Innovation: The successful candidate will demonstrate a methodical approach to identifying issues, troubleshooting problems, and designing innovative, long-term solutions. Desirable Qualifications: A bachelor’s degree in Computer Science, Information Systems, or a related field is preferred. Certifications in Snowflake, AWS, or similar cloud platforms, as well as experience working in multi-market or global environments, will be highly valued
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