Senior Data Engineer – Snowflake, Redshift

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ZigZag Offshoring

WebsiteLinkedInAll Job Openings

501 - 1000 employees

👥 HR Tech

🎯 Recruiter

🏢 Enterprise

HR Tech • Recruitment • Enterprise

ZigZag Offshoring is a company that provides offshoring services to businesses, facilitating the hiring and management of staff across different roles and industries. It is based in Manila, Philippines, and emphasizes data privacy and consent in its recruitment processes. ZigZag Offshoring offers a variety of job opportunities, including positions for developers, customer service representatives, HR admins, and more, often with flexible or remote working options. The company collects and processes personal data as part of the recruitment process, adhering to applicable data privacy laws and regulations.

📋 Description

• Design, build, and scale modern cloud-based data platforms • Build and maintain scalable and secure cloud-native data platforms and data pipelines • Lead Snowflake data warehouse architecture, optimisation, and operational management • Develop ELT/ETL pipelines to ingest, transform, and deliver data from internal and external sources • Build reusable data frameworks, transformation models, and orchestration workflows • Develop infrastructure-as-code and automation for data platform provisioning where appropriate • Optimise performance, scalability, and cost efficiency across data workloads • Support near real-time and batch data processing • Improve Snowflake architecture, performance tuning, security, governance, and operational practices • Design and optimise Snowflake schemas, warehouses, clustering strategies, and data sharing • Design and maintain curated data models for analytics, reporting, and operational use cases • Translate business requirements into scalable data solutions with analysts, stakeholders, and engineering teams • Enable self-service analytics through semantic layers and governed datasets • Support and optimise BI and reporting platforms such as Looker and Power BI • Implement data quality controls, validation frameworks, reconciliation processes, and monitoring • Resolve data integrity, consistency, and performance issues • Establish observability and operational monitoring for pipeline and platform reliability • Contribute to data governance, lineage, cataloguing, and metadata management • Ensure compliance with security, privacy, and regulatory requirements • Collaborate with Product, Engineering, Operations, Finance, and Business stakeholders • Mentor junior engineers and analysts • Contribute to engineering standards, best practices, and platform strategy • Drive continuous improvement across data architecture, tooling, and delivery practices • Improve organisational data literacy and data maturity

🎯 Requirements

• 5+ years of experience in Data Engineering, Analytics Engineering, or related data platform roles • Experience designing and supporting multi-region and enterprise-scale data platform architectures • Experience driving performance optimisation and cloud cost efficiency across large-scale data workloads • Strong understanding of platform reliability, operational maturity, resilience, and production support • Experience implementing governance, security, access control, and data protection models • Ability to develop architectural standards, engineering documentation, and scalable design patterns • Strong hands-on expertise with Snowflake in enterprise-scale environments • Advanced SQL skills, including complex analytical query and data transformation optimisation • Experience building and maintaining modern ELT/ETL pipelines and orchestration workflows • Understanding of data warehousing, dimensional modelling, and scalable data architecture • Experience with AWS, Azure, or GCP • Experience with dbt, Airflow, Fivetran, Matillion, or equivalent tools • Experience integrating structured and semi-structured data sources • Understanding of data governance, security, and access management principles • Ability to manage large and complex datasets in production • Strong analytical, troubleshooting, and problem-solving capabilities • Excellent communication and stakeholder engagement skills • Ability to work effectively in fast-paced, agile, and collaborative environments • Applicants must be located in the Philippines or be able to work legally there; sponsorship requirements are addressed in the application • Desirable: fintech, payments, SaaS, or regulated-industry experience • Desirable: Kafka or Kinesis experience • Desirable: machine learning data pipelines and advanced analytics workloads • Desirable: CI/CD practices for data engineering • Desirable: Terraform or other Infrastructure-as-Code tools • Desirable: data observability and quality tooling • Desirable: PCI-DSS, ISO27001, or SOC 2 exposure • Desirable: mentoring engineers or leading technical initiatives

🏖️ Benefits

• Diverse, inclusive, and equitable workplace • Environment where everyone is valued and empowered to thrive • Continuous learning culture • Collaborative and agile work environment