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Application Support Engineer (Data)

Palo IT • 🌐 In Person

In Person Posted 4 days, 19 hours ago

Job Description

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +500 experts from +50 nationalities)

We are robust and resilient (100% independent and 0 debt)

We are entrepreneurs and passionate experts : We invest in what we genuinely believe and work as a collective intelligence

We are positive, courageous, caring, doers and committed to excellence

Position Overview

We are seeking an experienced Data Engineer to join our managed services team, where you'll play a critical role in supporting and maintaining data platforms for our diverse client portfolio. This position offers the opportunity to work with cutting-edge cloud technologies while solving complex data challenges across multiple industries.

Key Responsibilities

Data Platform Management

Support and maintain data platforms for multiple clients across Azure, Microsoft Fabric, and other cloud environments

Manage and optimize on-premise data platform solutions

Ensure high availability, performance, and security of client data infrastructure

Monitor platform health and proactively address potential issues

Data Pipeline Development

Design, build, and maintain robust data pipelines for ETL/ELT processes

Implement real-time and batch data processing solutions

Optimize data flows for performance and cost-effectiveness

Troubleshoot and resolve pipeline issues to ensure reliable data delivery

Infrastructure as Code

Collaborate With DevOps to create and maintain infrastructure using Terraform for scalable, repeatable deployments

Manage cloud resources and infrastructure provisioning across multiple client environments

Implement infrastructure best practices for security, monitoring, and disaster recovery

Collaborate with DevOps to establish CI/CD pipelines for data infrastructure

Client Support \& Collaboration

Work directly with clients to understand their data requirements and business objectives

Provide technical expertise and recommendations for data architecture improvements

Document solutions and maintain comprehensive technical documentation

Participate in client meetings and technical reviews

Required Qualifications

Technical Skills

Cloud Platforms : Strong experience with Microsoft Azure services (Data Factory, Synapse, Azure SQL, Storage Accounts, etc.)

Microsoft Fabric : Hands-on experience with Microsoft Fabric components and capabilities

Infrastructure as Code : Proficiency in Terraform for infrastructure provisioning and management is a plus

Data Engineering : 5+ years of experience building and maintaining data pipelines

Programming : Strong skills in Python, SQL, and PowerShell/Bash scripting

On-Premise Systems : Experience with traditional data platforms and hybrid cloud architectures

Platform Expertise

Azure Data Services (Data Factory, Synapse Analytics, Databricks, Event Hubs)

Microsoft Fabric

Database technologies (SQL Server, PostgreSQL, NoSQL databases)

Data integration tools and methodologies

Multi-cloud environments (AWS, GCP experience is a plus)

Professional Skills

Strong problem-solving and analytical thinking abilities

Excellent communication skills for client-facing interactions

Experience working in a managed services or consulting environment

Ability to manage multiple client projects simultaneously

Strong documentation and knowledge-sharing practices

Preferred Qualifications

Bachelor's degree in Computer Science, Engineering, or related field

Azure certifications (Azure Fabric/Data Engineer Associate, Azure Solutions Architect)

Experience with containerization technologies (Docker, Kubernetes)

Knowledge of data governance and compliance frameworks

Familiarity with monitoring and observability tools (Azure Monitor, Grafana, etc.)

Experience with agile development methodologies

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

Become a climate net-zero company

Deliver projects with a positive impact

Train 100% of our workforce on impact

Achieve B Corp certification among all our offices across the globe

Continuously measure \& improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

Stimulating working environments

Unique career path

International mobility

Internal R\&D projects

Knowledge sharing

Personalised training

Entrepreneurship \& intrapreneurship

For more on our team culture and benefits, check out our careers page .

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

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