Senior Data Engineer

Overview

We are seeking a highly skilled Senior Data Engineer to support the modernization of enterprise data and tooling capabilities. This role involves designing, developing, and managing scalable data solutions within a cloud-based data ecosystem, with a strong focus on Snowflake.

The ideal candidate is a motivated, self-driven professional with strong technical expertise and a strategic mindset who thrives in a collaborative team environment.

Key Responsibilities

• Design, implement, and manage scalable data solutions using Snowflake for optimized storage and processing.
• Migrate existing data domains and workflows from relational databases to cloud-based platforms.
• Analyze, identify, and optimize new and existing data pipelines and workflows.
• Implement and enforce data integrity and quality practices across data systems.
• Integrate data governance and data science tools within the Snowflake ecosystem.
• Develop and maintain robust ETL/ELT processes to support high-quality data ingestion.
• Collaborate with cross-functional teams to design efficient data workflows and transformations.
• Optimize Snowflake environments for performance, scalability, and cost efficiency.
• Contribute to proofs of concept (POCs), technical documentation, and best practices for data management.
• Participate in code reviews and ensure high standards of code quality.
• Design and develop data ingestion pipelines using Talend and/or Informatica.
• Write efficient SQL queries and Python scripts for large-scale data processing and automation.
• Build and implement data distribution layers using Snowflake REST APIs.
• Develop semantic models in Snowflake; experience with visualization tools is an advantage.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field (Master’s degree preferred).
• 7–10+ years of experience in data engineering, data modeling, and data warehouse development.
• Strong expertise with Snowflake, including architecture, optimization, and data modeling.
• Experience with Snowflake REST APIs.
• Hands-on experience with ETL tools such as Informatica and Talend.
• Strong proficiency in SQL and Python programming.
• Experience working with distributed data systems.
• Solid understanding of relational databases (e.g., DB2) and data transformation techniques.
• Strong knowledge of data modeling concepts (dimensional modeling, schema design).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills across technical and business teams.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Experience collaborating with data scientists and integrating machine learning models into data platforms is an advantage.

Preferred Skills

• Experience with semantic modeling and reporting layers.
• Exposure to cloud data governance frameworks.
• Understanding of performance tuning and cost optimization in Snowflake.