Data Engineer

About the Company

We are a leading technology company focused on delivering innovative data solutions that empower businesses to harness the power of their data. Our mission is to create scalable and efficient data architectures that drive insights and decision-making. We foster a culture of collaboration, continuous learning, and inclusivity.

About the Role

The Data Engineer will be responsible for building and maintaining ETL data workflows from AWS S3 to Snowflake, ensuring high performance and scalability in data processing.

Responsibilities

• Design, develop, and maintain scalable, high-performance data pipelines supporting batch and real-time data processing.
• Architect and implement enterprise-scale data warehousing solutions, with a strong focus on Snowflake.
• Build and manage high availability (HA) and fault-tolerant data transformation pipelines.
• Develop and optimize real-time event-driven data architectures using streaming technologies.
• Collaborate with cross-functional teams (analytics, product, engineering) to translate business requirements into scalable data solutions.
• Implement data quality, governance, and observability practices across the data platform.
• Optimize performance and cost efficiency across cloud-based data systems.
• Contribute to platform evolution, including tooling, frameworks, and best practices.

Qualifications

• Extensive experience (8 years +) as a Data Engineer in enterprise-scale environments.
• Strong hands-on expertise with Snowflake (data modelling, performance tuning, ELT design).
• Deep understanding of cloud architecture (e.g., Azure, AWS, or GCP).
• Proven experience building high availability and resilient data pipelines.
• Experience with real-time data processing and event-driven systems (e.g., Kafka, streaming platforms).
• Strong SQL and programming skills (e.g., Python, Scala, or similar).
• Experience with orchestration and workflow tools (e.g., Airflow).
• Familiarity with data warehousing concepts, dimensional modelling, and large-scale data transformations.
• Understanding of CI/CD, DevOps practices, and infrastructure-as-code is a plus.
• Experience building highly Observable solutions with Open Telemetry.

Preferred Skills

• Experience with modern data stack tooling and ELT frameworks.
• Knowledge of data security and compliance in enterprise environments.
• Exposure to data lakehouse architectures.
• Experience working in fast-paced agile delivery environments.

Pay range and compensation package

Competitive salary based on experience and qualifications.

Equal Opportunity Statement

We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law.