Remote Senior Data Engineer

Description:

• As a Senior Data Engineer with Resource Data, you will help design and develop data and integration solutions that elevate enterprise systems efficiency, performance, and value.
• You will join a team of technical consultants to provide solutions to clients' most challenging enterprise IT problems.
• The role involves working closely with clients to understand their business processes and analytics needs to design and build data pipelines and cloud data solutions.
• You will have the opportunity to guide best practices in data warehousing, data processing, and data management design.
• The team is currently designing and implementing a custom data warehouse solution using Microsoft Fabric and Synapse as part of a major technical transformation.
• Your vision will shape the deliverables for project managers, designers, and junior data engineers throughout different stages of this multifaceted initiative.
• Key responsibilities include creating data pipeline architectures, data integrations, and BI solutions such as data visualizations and dashboards.
• You will identify, design, and implement process improvements for clients, including automating manual processes and optimizing data delivery.
• The role requires building the infrastructure for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL, Azure, and AWS technologies.
• You will also build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Requirements:

• A minimum of 5 years' experience in a role involving database development, data modeling, relational database design, building data pipelines, data migration, and ETL development is required.
• Experience developing data warehouse solutions using Microsoft Fabric or Synapse is essential.
• Preferred qualifications include at least 3 years of consulting or analytics project delivery through the entire software lifecycle.
• Proficiency in programming languages such as C#, Java, Python, and R is preferred.
• Experience with custom application development and knowledge of data structures and algorithms is beneficial.
• Strong programming skills in Python, R, or Java are also preferred.

Benefits:

• Resource Data promotes a culture of work-life balance, ensuring that employees can focus on what truly matters to them outside of work.
• The company supports employees in investing quality time with family, achieving personal fitness goals, and pursuing personal interests.
• Resource Data values teamwork and diversity, providing a supportive environment where coworkers collaborate to achieve amazing results.
• The company has a long-standing history of designing and building innovative technology solutions for complex challenges across various industries.