Data Engineer

Role Description

At Umpisa Inc., our mission is to make the Philippines be known globally as a tech hub. 

Umpisa Inc. is a progressive technology services company that partners with select industries, clients and people to work on pioneering and industry-changing solutions via digital transformation, modern software development and venture building.

We create a set of world-class and impactful products and solutions to help organizations and individuals live better lives. We offer demanding, challenging and rewarding careers in software development, product development, emerging technologies, and more for the right candidates.

Essential Skills:

• Aligns with our values: Excellence, Integrity, Professionalism, People Success, Customer Success, Fun, Innovation and Diversity
• Strong communication skills
• Strong problem solving and analytical skills
• Excellent problem-solving ability
• Would like to work as part of a self-organizing Scrum team in a scaled agile framework
• Must be a self-starter and loves to collaborate with the team and client

Job Summary

We are seeking a talented and experienced Data Engineer specializing in Google Cloud Platform (GCP) ETL tools to join our team. As a Data Engineer you will be instrumental in designing, implementing, and maintaining scalable data pipelines and systems leveraging GCP's suite of ETL tools.

Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP ETL tools like Cloud Dataflow, Dataprep, or Dataproc
• Collaborate with cross-functional teams to understand data requirements and implement solutions using GCP services to support data-driven initiatives
• Optimize data models and architecture for performance and reliability within GCP
• Build and maintain data warehouses, data lakes, and other data storage solutions on Google Cloud Platform
• Ensure data quality, integrity, and security across various datasets within GCP
• Identify and resolve performance bottlenecks in data infrastructure specifically related to GCP ETL tools
• Work closely with data scientists, analysts, and other stakeholders to support their data needs within the GCP ecosystem
• Stay updated with the latest GCP technologies and trends in data engineering and implement best practices

Minimum Requirements:

• 2 years of experience as a Data Engineer or in a similar role, with a strong focus on Google Cloud Platform
• Proficiency in programming languages such as Python, Java, or Scala
• Strong experience with SQL databases within GCP (MySQL / PostgreSQL
• Hands-on experience with GCP data pipeline and workflow management tools like Cloud Dataflow, Dataprep, or Dataproc
• Expertise in building and optimizing big data solutions within GCP using technologies like BigQuery, Dataflow, Pub/Sub, etc.
• Solid understanding of GCP data warehousing concepts and methodologies
• Excellent problem-solving skills and the ability to work in a fast-paced environment within GCP's ecosystem

• Perform report generation that is moving from Oracle to Microsoft SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS)

• Use technologies such as but not limited to the ff:
• Database - Microsoft SQL Server
• Data Integration, Transformation and Data Workflow Automation - Microsoft Server Integration Services (SSIS)
• Report Generation - Microsoft SQL Server Reporting Services (SSRS), PowerBI

Preferred:

• Google Cloud certifications such as Professional Data Engineer or Associate Cloud Engineer
• Experience with other GCP services beyond ETL tools
• Knowledge of machine learning concepts and frameworks within GCP

• Work from home
• HMO
• 13th Month Pay
• Training benefits

NOTE: The list of qualifications is a guide. Best case if the candidate possesses ALL the required/desired criteria, but then again this is a GUIDE. If you think you can do the task and would be a great fit with us, send your professional profile to [email protected]. We accept applicants wherever you are in the Philippines.