IBM Big Data Engineer-Google 

Philippines, Quezon City 

332652343

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role and Responsibilities

As a Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

Your primary responsibilities include:

• Strategic Data Model Design and ETL Optimization: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.
• Robust Data Infrastructure Management: Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.
• Seamless Data Accessibility and Security Coordination: Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.

Required Technical and Professional Expertise

• Extensive experience in Python. Top priority: BigQuery and BigQuery Transformation (SPROC/BigQuery Tuning & Query Optimization techniques).
• Other Key Skills: Cloud Storage, Pub/Sub, Eventarc, Firestore, DataProc, Workflows, Dataflow, Cloud Run.
• Additional Tools: Cloud Workstation, Cloud Functions, Cloud Build, Cloud Composer. Version Control & CI/CD: Expertise in Git, understanding how CI/CD works, Docker, Terraform on GCP. APIs: Understanding of logic and how APIs operate, preferably using Python.

Preferred Technical and Professional Expertise

• Technical Development experience
• Demonstrated client interaction and excellent communication skills; both (written and verbal)
• Amenable to work on a client dictated schedule (Day, Mid and Night) and Location