Azure Data Engineer (AU Staffing, Hybrid)

Salary: P80,000 to P120,000 (Monthly Package)

Schedule: Monday to Friday (06:00 AM to 03:00 PM PHT)

What are we looking for?

Skills Required:

• 3+ years of experience as an Azure Data Engineer or similar role, with a deep understanding of Azure services, including Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure Data Warehouse.
• Good knowledge of data warehousing, data modelling, and ETL processes.
• Proficiency in programming languages such as SQL, Python, etc.
• Familiarity with data visualisation tools, like Power BI or Tableau, is a plus.
• Solid understanding of data security, privacy, and compliance best practices.
• Excellent problem-solving and troubleshooting skills.

What will you do?

• Design and Develop: Architect, design, and implement robust, scalable, and secure data solutions on the Azure platform, leveraging Azure Data Factory, Azure Databricks, Azure Data Lake, and other relevant Azure services.
• Data Warehousing: Design and develop efficient data models, ensuring proper data integrity, and implement them using Azure Data Warehouse. Collaborate with data architects and stakeholders to analyze and optimize data structures, schemas, and query performance.
• Data Lake Storage: Utilize Azure Data Lake Storage for storing large volumes of structured and unstructured data. Implement data partitioning, compression, and indexing strategies for optimised data storage and retrieval.
• Data Integration: Integrate data from various sources, both on-premises and in the cloud, using Azure Data Factory pipelines. Ensure seamless data flow throughout the data pipeline, performing data transformations and orchestrating complex data workflows.
• Data Processing and Analytics: Utilize Azure Databricks for big data processing, data exploration, and analytics. Leverage Spark-based processing capabilities to perform complex data transformations, join large datasets, and extract valuable insights.
• Monitoring and Optimization: Monitor data processing and storage systems to identify performance bottlenecks, troubleshoot issues, and implement optimization techniques. Continuously improve system efficiency, reliability, and scalability to meet evolving business needs.
• Data Security: Implement appropriate data security measures utilizing Azure services to protect sensitive information and ensure compliance with relevant data privacy and protection regulations. Apply encryption, access controls, and other security mechanisms to safeguard data throughout its lifecycle.

Join the awesome team and enjoy these benefits & perks:

• Hybrid Work Setup
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila — the Mega Tower, EDSA

JOIN CONNECTOS NOW!

ConnectOS is certified as a Great Place to Work and is a top-rated Philippines employer of choice.

Our client, located in Australia, possesses 15 years of experience in assisting businesses in constructing efficient and prosperous hybrid teams. They achieve this by integrating the client’s existing team with offshore talent. Utilizing their extensive expertise, they are able to optimize productivity, foster collaboration, and deliver cost-effective outcomes.

#ConnectOS #TeamConnectOS

Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age’, race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.