Senior Data Engineer

Who We Are

We are trusted modern technology leaders in:

• Agile Software Development
• Cloud Consulting and Managed Services
• Data Engineering and Analytics
• Artificial Intelligence and Machine Learning

We use technology to enrich experiences, empower businesses, and uplift communities.

Our C.A.R.E. values

• nourish Creativity
• embody Agility
• manifest Reliability
• pursue Evolution

The Role

The primary role will be to design and build data pipelines. You will be focused on developing and implementing solutions on AWS Data Engineering services (RDS, Aurora, EKS, ECS, IAM, S3), Confluent Kafka, Spark, Debezium, Cloud Native, and event-driven data pipelines. An ideal candidate needs to have a strong foundation in big data technology, familiarity with logging and monitoring using CloudWatch, Grafana or similar tools, and a passion to learn new technologies.

As part of the Data Capability, you will be able to demonstrate, develop, and extend your skills in Data, AI, Cloud, and system integration. You will be working in a modern environment and find yourself surrounded by a multi-disciplinary peer group of data enthusiasts with a strong entrepreneurial spirit. You will be able to work on activities in various industries, which will allow you to develop your skills and knowledge to the full extent.

The Benefits

At Stratpoint, we enjoy the autonomy, lack of bureaucracy, and the freedom to experiment, but without the chaos. We're like a startup but with adult supervision.

You will be supported by capable management of HR, Finance and IT that adheres to the highest standards of integrity and good governance.

Hybrid is our mode of work, but when we need to come together, we have inviting open floor office spaces designed to spark gatherings, collaboration, and camaraderie.

Stratpoint employees enjoy

• SSS, Pag-ibig and Philhealth benefits + company contribution
• a monthly miscellaneous allowance
• 13th month pay based on your monthly rate.
• Vacation and Sick leave
• Wellness programs such as Wellness Wednesdays
• HMO coverage
• Team buildings and quarterly events (company outings and festive celebrations for Chinese New Year, Valentines, Halloween and Christmas)
• And, friendly intramural competitions

Your Team

We are a team of young and eager adventurers. You will be reporting to a Project Manager and enjoy the collaboration of team members within the project and capability. You will also get the opportunity to work with external stakeholders in the successful completion of project objectives.

You will work closely with our business partners, the household brands in technology, such as Amazon Web Services, Google Cloud, Microsoft and Outsystems.

Your Responsibilities

• Design and development of  data pipelines utilizing Kafka, ELK, Spark
• Read, extract, transform, stage and load data to multiple targets, including Databases, Data Lakes, and Data Warehouses using any of the ff: dbt, PySpark, etc.
• Work / manage gigabytes/terabytes of data and must understand the challenges of transforming and enriching such large datasets
• Migrate existing data processing from standalone or legacy technology scripts to Python or Scala on Spark framework processing

 About You

• Bachelor's Degree in Computer Science/IT/Computing/Business or equivalent
• Advanced SQL scripting skill
• At least 3-4 years of professional experience in ETL project using Apache Spark 
• At least 2 years of professional experience in Linux environment
• At least 2 years of professional experience in Hadoop and Big Data Ecosystem 
• ETL experience (any tool) with one Change Data Capture (CDC) implementation

Nice to Have

• Experience in any cloud environment (GCP/AWS/Azure/Alibaba, etc)
• Devops, Git, CI/CD, Kubernetes, Docker containers

The requirements listed in this job description are guidelines, not hard and fast rules. You don't have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark of what we are looking for, we encourage you to submit an application. We look forward to getting to know you more