Requirements: English
Company: INFOPLUS TECHNOLOGIES
Region: zdalna, zdalna, polska ,
Role : Data Platform Engineer AWS
Location: Poland ( Remote)
Employment Type: B2B Contract
Evaluate Snowflake for data processing, storage, and analytics while considering key factors such as security, scalability, performance, and cost.
Establish and enforce data engineering best practices, standards, and guidelines to ensure data quality, reliability, and consistency in terms of Snowflake.
Research, test, benchmark, and assess new Snowflake features, providing recommendations for their integration into the data platform.
Develop and implement Snowflake-based solutions that align with business strategy, architectural considerations, and both short- and long-term roadmaps, ensuring high scalability and extensibility.
Optimize Snowflake performance, conduct tuning, and troubleshoot data infrastructure components to maximize efficiency and resource utilization.
Proactively identify bottlenecks , gaps, and opportunities, in snowflake and driving necessary changes through direct action or by influencing peers and leadership.
Deploy Snowflake following best practices, ensuring knowledge transfer so engineers can independently extend its capabilities.
Engage hands-on with customers to demonstrate and communicate Snowflake implementation best practices.
Support prospects and customers throughout the sales cycle, from demos to proof-of-concept, design, and implementation, effectively showcasing Snowflakes value.
Collaborate with Product Management, Engineering, and Market teams to continuously enhance Snowflake solutions.
Apply hands-on expertise with AWS and cloud-based data services such as Snowflake.
Leverage software engineering and analytical skills to solve large-scale business challenges.
Ensure compliance with data security and privacy regulations, implementing best practices for data protection.
Understand the end-to-end data analytics stack and workflow, from ETL processes to data platform design and BI tools.
Demonstrate expertise in large-scale databases, data warehouses, ETL, and cloud technologies, including Data Lakes, Data Mesh, and Data Fabric.
Bridge the gap between business challenges and Snowflakes solutions, aligning data architecture with customer needs.
Conduct deep discovery of customer architecture frameworks and integrate them with Snowflake data architecture.