Azure Data Engineer

1. Azure Data Engineer
Azure Data Engineer – Cloud & Big Data Specialist

[Your Company Name] – [Your Location]

Are you a skilled Data Engineer with a passion for transforming complex data into actionable insights? Do you have hands-on experience with the Azure data ecosystem? We are looking for a local citizen to join our team, focusing on developing, maintaining, and optimizing our data pipelines, data lake, and reporting solutions.

The Role: Key Responsibilities

As an Azure Data Engineer, you will be a key player in ensuring the integrity, availability, and usability of our enterprise data. Your main responsibilities will include:

• Data Pipeline Development: Designing and developing robust Azure Data Factory pipelines and Databricks notebooks for efficient data ingestion, transformation, and loading.
• Reporting & Visualisation: Developing high-impact Power BI dashboards and reports, leveraging DAX to generate meaningful visualizations for stakeholders.
• Data Analysis & Resolution: Performing deep data/system analysis to identify and address complex data issues, including root cause identification and resolution.
• Support & Maintenance: Providing deployment to production, vendor hypercare support, and preparing comprehensive handover documents for Operations.
• Documentation & Automation: Maintaining comprehensive documentation of data processes and actively supporting the automation of data processes across cloud and on-premises environments.
• Issue Remediation: Investigating data issues and supporting data owners in developing and implementing remediation plans.

What You'll Bring: Essential Skills & Qualifications

Must-Have Skills (Minimum Requirement)

• Azure Databricks: Strong, hands-on development experience.
• Azure Data Factory: Strong, hands-on development experience.
• Microsoft Power BI: Strong, hands-on development experience, including DAX.
• Local Citizen: Must be a local citizen/resident with full working rights.
• Databases: Hands-on experience with major database platforms (e.g., Oracle, Azure SQL, etc.).
• Python: Proficiency in Python for data wrangling and analysis.

Desirable Experience (Nice-to-Have)

• Experience with SQL scripting and querying.
• Proficiency in cloud-based monitoring tools and query logs, especially Azure Log Analytics.
• Experience with big data processing frameworks (HDFS, MapReduce, Spark, etc.).
• Familiarity with reporting tools and generating visualizations for stakeholders.
• Understanding of machine learning concepts and AI for scripting/automation is a plus.
• Experience with Azure Synapse is highly regarded.
• Excellent communication, analytical thinking, and a collaborative team mindset.

2. DevOps Engineer
DevOps Engineer – Automation & Build Systems Specialist

[Your Company Name] – [Your Location]

We are seeking a proactive and experienced DevOps Engineer to enhance and maintain our automated software build and deployment systems. If you thrive on building high-quality, efficient pipelines and driving best practices across development teams, we want to hear from you. Note: A flexible schedule and some after-hours release support are required.

The Role: Key Responsibilities

As a DevOps Engineer, you will be instrumental in bridging the gap between development and operations, ensuring rapid and reliable delivery of our Enterprise-class software. Your responsibilities will include:

• Pipeline Design & Development: Designing, developing, and maintaining automated pipelines for continuous delivery (CI/CD) of value to our clients.
• Build System Management: Designing, developing, and supporting high-quality in-house software build systems.
• Scripting & Release Management: Creating and maintaining automated build/release scripts and comprehensive release plans.
• Best Practices & Mentorship: Providing design, implementation guidance, and tutoring to team members on best practices, tool use, and core DevOps principles.
• Source Code Management: Designing, training, and implementing robust source code control management best practices.
• Risk Remediation: Working independently and within project teams to provide guidance and recommendations to business stakeholders and management for risk remediation.
• Process Improvement: Contributing to and reviewing ongoing improvements to the implementation of standards, methods, and procedures for DevOps best practices.
• Communication: Communicating effectively with software development and other project groups to ensure project objectives and processes are met.

What You'll Bring: Essential Skills & Qualifications

• CI/CD Expertise: Proven experience designing and maintaining automated continuous delivery pipelines.
• Automation Focus: Strong history of developing and maintaining automated build and release scripts.
• SCM Proficiency: Deep understanding and practical experience in implementing source code control management best practices (e.g., Git, branching strategies).
• Communication & Collaboration: Excellent communication skills and the ability to effectively collaborate across diverse technical and business teams.
• Guidance & Mentorship: Experience providing technical guidance and mentoring to development teams on DevOps tools and principles.
• Adaptability: A flexible time schedule and willingness to provide after-hours release support when necessary.
• Problem-Solving: Strong analytical skills to work independently and recommend solutions for risk remediation.

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