Data Architect Data Analytics

Data Engineer Highlights Build and maintain pipelines that power data-driven insights Hybrid or remote flexibility High-growth opportunities in cloud and big data technologies Role Summary We are seeking a Data Engineer to architect and maintain data infrastructure that supports analytics and machine learning.

This role ensures that high-quality data is available, secure, and scalable across the business.

Key Responsibilities

• Design and implement scalable data pipelines and workflows
• Build ETL / ELT processes for structured and unstructured data
• Partner with analysts and scientists to meet data needs
• Optimize databases and data storage systems
• Ensure data quality, security, and compliance standards Requirements
• Proficiency in SQL and strong data modeling skills
• Experience with big data tools (Spark, Hadoop, Kafka)
• Skilled in Python, Scala, or Java for data engineering
• Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift)
• Knowledge of APIs and data integration practices Why Join Us As a Data Engineer, you'll build the backbone of our data-driven operations.

You'll help ensure that insights and models are powered by reliable, high-quality data.

About Us We are a software company dedicated to turning data into actionable intelligence.

Our teams deliver solutions that fuel smarter decision-making and innovation.