Senior Data Engineer (Remote)

About the role

You will lead and manage the Software quality assurance function and help maintain and improve the quality of software products, development practices and client implementations. You will be responsible for ensuring products are performing and scalable. This means you will create well-structured test plans and test cases and lead the testing activities for your team.

We are looking for an experienced Senior Data Engineer to design, build, and manage scalable data solutions while providing technical guidance to a small engineering team. This role combines hands-on development with responsibility for solution design, production reliability, delivery planning, and team mentoring. The candidate should work independently, translate business requirements into technical solutions, and take ownership of projects from initial analysis through deployment and ongoing support.

Key responsibilities

• Own data pipeline development: Design, develop, and maintain reliable ETL/ELT pipelines for ingesting, transforming, and delivering large-scale datasets across multiple platforms and sources.

• Lead technical design: Define processing logic, data models, integration approaches, and workflow dependencies, considering scalability, maintainability, security, and cost.

• Develop and optimize data processing: Write efficient SQL, Hive queries, and Python code. Apply distributed processing frameworks such as Spark where appropriate.

• Build and manage AWS workflows: Develop and support data solutions using Amazon S3, Athena, EC2, and EMR, including monitoring and resource optimization.

• Manage workflow orchestration: Build and maintain automated workflows using Apache Airflow or comparable orchestration tools, including scheduling, dependencies, retries, alerting, and recovery.

• Ensure production reliability: Monitor pipeline performance and data freshness, investigate failures, perform root cause analysis, and implement improvements that prevent recurring issues.

• Maintain data quality and governance: Establish validation checks, reconciliation processes, lineage documentation, and appropriate access controls throughout the data lifecycle.

• Lead and mentor a small team: Guide 2-3 engineers, break requirements into actionable tasks, review code and designs, support troubleshooting, and track delivery commitments.

• Collaborate with stakeholders: Work closely with analytics, product, engineering, and data science teams to clarify requirements, agree on priorities, communicate progress, and manage dependencies.

• Maintain technical documentation: Create and update solution designs, data flow diagrams, data dictionaries, operating procedures, and support runbooks using Confluence or similar platforms.

About you

• 5+ years of professional experience in data engineering, with demonstrated ownership of production data pipelines and large-scale data processing.

• Strong SQL expertise, including complex joins, window functions, transformations, query tuning, and troubleshooting.

• Strong working knowledge of Hive and the Hadoop ecosystem, including partitioning, storage formats, and distributed data processing concepts.

• Proficiency in Python for data processing, automation, integration, and maintainable production code.

• Hands-on experience with Amazon S3, Athena, EC2, and EMR.

• Strong experience with Apache Airflow or another ETL/workflow orchestration tool, with Airflow preferred.

• Experience implementing data quality checks, monitoring, error handling, and operational support processes.

• Ability to translate business requirements into technical designs and deliver solutions with minimal supervision.

• Strong documentation and communication skills, including the ability to explain technical issues clearly to business and technical stakeholders.

• Working experience with Jira and Confluence for task tracking, delivery coordination, and documentation.

About us

iScale Solutions is a Managed Outsourcing and Staff Augmentation provider with operations in the Philippines, Madagascar and Singapore. We thrive to provide customized solutions and deeply integrate in our customers' business processes. We believe in recruiting the best available talent in the market, and offer our customers great value for their money.

Benefits

• Competitive Salary Package: Receive a pay package that matches your skills and experience.

• Vacation and Sick Leave credits: Enjoy vacation and sick leave credits to maintain work-life balance.

• Health Coverage: Get medical, dental, and vision insurance for you and your dependents.

• Government-Mandated Benefits: Full coverage of all statutory benefits like SSS, PhilHealth, and Pag-IBIG.

• Learning Opportunities: Access training, certifications, and mentorship to grow your career.

• Team Engagement: Join team-building activities and wellness programs.

• Modern Tools: Use the latest technology to excel in your role.

• Career Growth: Clear paths for promotion and professional development.

• Inclusive Culture: Be part of a diverse, supportive, and collaborative global team.