Data Operations Engineer (AU, Retail, Hybrid)

ConnectOS; Metro Manila; Hybrid; PHP 800,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work

Medical & life insurance

Paid vacation & sick leave

13th month pay

Annual appraisal

Wellness facilities

Career growth

Job summary

ConnectOS in Metro Manila is seeking a Data Operations Engineer to manage data transfers, maintain file transfer systems, and ensure reliable data feeds across platforms. You will work with Talend, Snowflake, AWS and CI/CD pipelines to support analytics infrastructure.

The role requires 3-5 years in data management, strong problem-solving, and on-call availability. Hybrid work 2-3x per week onsite at the Mega Tower, EDSA.

Qualifications

• Bachelor's degree required in CS/IT or related field.
• 3-5 years of data management experience including ETL and DB administration.
• Strong knowledge of AWS data services and cloud components (S3, EC2, RDS, IAM, Lambda, CloudFormation).
• Experience with Snowflake, Oracle, and Postgres.
• CI/CD experience with GitLab, Jenkins, CircleCI.

Responsibilities

• Oversee data transfers across multiple systems and platforms.
• Maintain and optimize file transfer systems and data feeds.
• Administer and support data tools such as Power BI, DBT Cloud, Hightouch.
• Operate analytics infrastructure including Control-M, Sagemaker, and Airflow.
• Ensure data pipelines/ETL are efficient, secure, and reliable; handle on-call requests.

Skills

Analytical thinking

Problem solving

On-call readiness

Collaborative

Curious

Reliability

Education

Bachelor's degree in Computer Science / IT

Tools

Talend

Qlik

Hightouch

Snowflake

RDS

Power BI

Control-M

Sagemaker

Apache Airflow

Job description

Schedule: Monday to Friday (7am to 4pm PHT)

Hybrid 2-3x per week onsite

Role Overview

We're looking for a proactive and detail-driven Data Operations Engineer to join the Data Operations team. In this role, you'll be responsible for managing and optimising data transfers, maintaining file transfer systems, and ensuring the reliability of data feeds across our platforms. You'll work with a variety of tools and technologies to support seamless data operations and analytics infrastructure. If you enjoy working with complex systems, thrive on solving operational challenges, and are passionate about data reliability and performance-this could be the perfect fit.

Who you are?

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience in data management, including ETL processes and database administration.
• Strong working knowledge of AWS data services and AWS cloud services, including S3, EC2, RDS, IAM policies, Lambda, and CloudFormation.
• Experience with modern data platforms such as Snowflake, Oracle, and Postgres.
• Proficient in building and managing CI/CD pipelines using tools like GitLab (preferred), Jenkins, and CircleCI.
• Familiarity with data analytics infrastructure and tools.
• Strong analytical and problem-solving skills.
• Reliable: You ensure data flows are consistent and dependable.
• Analytical: You troubleshoot and optimise with precision.
• Collaborative: You work well with cross-functional teams and external partners.
• Curious: You stay ahead of the curve with new tools and techniques.
• Available: You are able to be on-call

Technology Stack

• ETL Tools: Talend, Qlik, Hightouch
• Data Platforms: Snowflake, RDS
• Cloud Services: AWS Data Services
• Analytics Infrastructure: Control-M, Sagemaker, Apache Airflow, Power BI

What will you do?

• Oversee and manage data transfers across multiple systems and platforms.
• Maintain and optimise file transfer systems and data feeds.
• Administer and support data tools such as Power BI, DBT Cloud, Hightouch
• Operate and maintain analytics infrastructure including Control-M, Sagemaker, and Apache Airflow.
• Ensure data pipelines and ETL processes are efficient, secure, and reliable. Action "General Service Requests" received on daily basis that includes access provisioning, data quality issues, minor enhancements within agreed timeframes.
• Conduct maintenance activities that includes vulnerability management, patch upgrades, version upgrades and security maintenance on a regular cadence.
• Participate in on-call roster for the Data Operations team.

Continuous Improvement

• Monitor and optimise data transfer processes for performance and reliability.
• Evaluate and implement new tools and technologies to enhance data operations.
• Regularly review and improve ETL processes for accuracy and efficiency.
• Conduct performance tuning of databases and data platforms.
• Stay current with advancements in data analytics infrastructure.

Training & Knowledge Sharing

• Stay Current: Continuously develop your expertise by keeping up with emerging data technologies, tools, and best practices.
• Documentation: Contribute to and maintain clear, accessible documentation for data operations, runbooks, and engineering standards.
• Team Enablement: Share knowledge with peers through code reviews, technical walkthroughs, and informal mentoring.
• Best Practices: Promote engineering excellence by contributing to internal guidelines and advocating for clean, maintainable, and scalable code.
• Learning Culture: Participate in team learning sessions, workshops, and retrospectives to foster a culture of continuous improvement.

Join the awesome team and enjoy these benefits & perks:

• Hybrid Work Arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

#ConnectOSCareers #JoinConnectOS #ConnectOSTech

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.