Data Engineer

• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Contribute to and maintain the enterprise data model – the source of truth in our Snowflake warehouse.
• Write and optimize complex SQL queries (including window functions, temp tables, and query performance tuning) to support analytics and reporting needs.
• Take part in designing and maintaining centralized model layer.
• Support data warehousing solutions via Snowflake + dbt.
• Develop automation scripts in Bash, Python, or other programming languages.
• Manage cloud environments (AWS, OCI) in collaboration with infrastructure teams.
• Maintain and optimize Kubernetes (EKS) cluster for scalable workloads.
• Implement and maintain infrastructure-as-code using tools like Terraform, YAML, and Argo for reproducible and reliable deployments.
• Debug and troubleshoot data pipelines and data quality issues across systems.
• Collaborate with stakeholders of varying technical backgrounds to translate business requirements into scalable technical solutions.
• Be an active contributor to our ETL/ELT framework, proposing improvements and optimizations.
• Contribute to best practices for data modeling, governance, and quality control.
• Explore and recommend AI tools and modern data solutions for efficiency and automation.

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