Data Engineer

The Data Engineer is a vital member of the application services team responsible for designing, building, and maintaining the infrastructure that supports the collection, storage, and analysis of large sets of data. They ensure that data flows smoothly from source to destination so that it can be processed and analyzed by other stakeholders., * Design and manage data architecture and pipelines.

• Deploy and maintain Elasticsearch clusters in multi-cloud or on-premises environments.
• Integrate data from various sources, including databases, APIs, and external systems.
• Collaborate on data models for improved analytics and decision-making.
• Implement processes for monitoring and ensuring data quality.

• Bachelor’s degree in Computer Science, Mathematics, Data Science, or related field.
• 6+ years of professional experience in data management or engineering, including 3+ years with Elasticsearch, SSIS, or similar tools.

Skills and Knowledge

• Proficiency in SQL, non-relational databases, and programming (e.g., Python, C#).
• Familiarity with cloud services like AWS or Azure.
• Experience with data modeling, ETL processes, and scalable pipelines.
• Knowledge of machine learning and data science concepts.
• Strong problem-solving, analytical, and communication skills.

This position is ideal for professionals passionate about driving data excellence and innovation. Apply today to join our team!

Skills: Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Cloud Computing, Communication Skills, Computer Science, Data Management, Data Modeling, Data Quality, Data Science, Database Extract Transform and Load (ETL), Database Programming, Elasticsearch, Machine Learning, Mathematics, Microsoft C# (C Sharp), Microsoft Windows Azure, Problem Solving Skills, Python Programming/Scripting Language, Relational Databases (RDBMS), SQL (Structured Query Language), SQL Server Integration Services (SSIS)