Senior Data Engineer | Remote

TASQ; Philippines; Hybrid; PHP 670,000 - 1,339,000; Full time

Benefits offered by this job

Bonus program

Flexible work location

Competitive compensation

Job summary

TASQ Philippines is seeking a senior data engineering lead to extend technical leadership while remaining hands-on with cloud data architectures. You will guide small to mid-size teams, design data models for cloud and hybrid environments, and shape data pipelines across Azure services.

You'll work in a flexible setup with a strong Microsoft Azure focus, partnering with our Azure initiatives and client engagements to deliver scalable data solutions and insights.

Qualifications

• Experience leading small to medium sized technical teams and Agile ceremonies.
• Expertise in designing data models for cloud and hybrid data warehouses.
• 5-8 years of relevant experience.

Skills

Team leadership

Azure Data Platform

SQL PySpark

API knowledge

Data modeling

Tools

ER/Studio

ER/Win

Azure Data Factory

Azure Synapse

Power BI

Job description

Job Highlights

• Leadership Opportunities – This role will help you extend and expand your knowledge and experience in technical leadership positions. These include technical decisionmaking; guidance and mentorship of more junior team members; and developing relationships with project, client, and company leadership – all while remaining handson in your areas of expertise.
• Our technology focus is on Azure – you’ll have plenty of exciting opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience in a very specific, defined space. Six months of experience on our team is worth years somewhere else.
• Microsoft Partnerships – Our great global relationship with Microsoft ensures that we have a pipeline of cutting‑edge Azure work opportunities, and access to the teams that have built the platform. You won’t find this at other places.
• Competitive compensation package, salary, allowance, standard benefits including quarterly and annual performance‑based cash bonus and other remuneration.
• Great working environment and company culture with flexible work location.

General Required Technical Skills:

• Experience leading small to medium sized technical teams (this includes work allocation/distribution to team members, technical escalation and support, representing the team in Agile ceremonies and client meetings).
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
• Implementing data architectures to support a variety of data formats and structures including structured, semi‑structured and unstructured data
• Experience with multiple full life‑cycle data warehouse implementations
• Understanding of data architectures required to support data integration processing
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar
• Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIs
• Demonstrated ability to quickly learn, adopt and apply new technologies
• Data profiling and creation of source to target mappings
• Ability to provision and configure Azure data service resources
• With at least 5 - 8 years of relevant experience

Detailed Required Skills:

• Python & SQL Scripting
• SQL, PySpark
• General Cloud Architecture competency skillset - Capable of taking requirements and building out data pipelines
• API Knowledge is required, but preference given to candidates who can create APIs

Preferred Experience/Skills/Certifications

• Microsoft Fabric
• Microsoft Azure Cosmos DB, Data Flows, Express Route, Azure Active Directory
• Experience creating strategies to migrate customers from on-premise environments to Azure
• Power BI and semantic modeling
• AWS Glue & Azure Data Factory
• AWS S3 & Azure Blob
• AWS Athena & Azure Databricks
• AWS Redshift & Azure Synapse
• AWS ECS & Azure AKS