Data Engineering Consultant

1 week ago

Makati City, National Capital Region, Philippines AIA Digital+ Full time

BETTER EXPERIENCES. A GREATER IMPACT.

Welcome to a future where better has no limits.

AIA Digital+ Philippines is an analytics, design, agile and technology innovation hub dedicated to making AIA more efficient, connected and innovative as it fulfils its purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.

AIA Digital+ is central to AIA's goal of being a customer-centric and world-class digital insurer, delivering world class services for our customers, partners and employees wherever they are.

We believe in finding new ways every day to shape a better tomorrow. We are at the forefront of an exciting transformation of our industry – designing, analyzing and fueling better human-centered experiences that make a difference.

We are much more than just a technology company. At AIA Digital+ the work we do makes a real difference in the lives of millions of people, every day. We empower every one of our people to have a voice and drive innovation that creates value for our customers, partners and employees.

We are bringing together top Technology, Digital and Analytics talent to accelerate AIA's transformation and secure our position as the technology leader in the insurance industry.

Shape your future, your way, with AIA Digital+. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.

In a culture of purpose-driven empowerment and collaboration, you will work with passionate teammates on projects that will shape a better future for you and for the communities we serve today, tomorrow and for generations to come.

Reimagine a brighter future at AIA Digital+.

Roles and Responsibilities:

  • Understand, design, develop, and expand data engineering technical stacks: ETLs, Data Stores, Data Warehouse, Data Lakes, Data Hubs, Data Governance, Visualization, Performance, Infrastructure, and Governance in either enterprise/ open source/ bespoke solutions or platforms.
  • Expertise in tools and solutions related to data governance which includes but not limited to analyzing and visualizing diver sources of data, discovering data sources and making them available through ETL as part of the data democratization initiative
  • Apply data mining and wrangling on data
  • Identify opportunities to optimize the ETL environment, implement monitoring, quality, and validation processes to ensure data accuracy and integrity.
  • Provide inputs in data governance to drive data governance charter
  • Implement data pipelines to bring data at reach to platforms or tools used by different business units. Maintain development roadmap aligned with product and infrastructure objectives to support advanced data solutions
  • Analyze source data and data flows and building APIs or solutions for data consumption or integration to different tools
  • Provide subject matter expertise or support to data engineering technical stack post-production
  • Design and implement solutions for integrating, streaming, processing, and storage of data. This also includes data in data warehouses, data lakes, and/or data hubs and handling of structured, semi-structured, and unstructured data
  • Work with architects contributing to the data and analytics team on best practices in backend infrastructure, cloud transformation, and distributed computing topics
  • Manage monitoring of all data cleansing/quality activities including support and guidance to business users to support all reporting needs, data profiles.
  • Develop team's data capabilities with knowledge sharing, enforcing best practices, and building a data-driven organization

Minimum job requirements:

  • Bachelor's Degree in Computer Science or Engineering courses
  • Innovative, proactive, creative, well-organized and able to easily adapt to various technologies
  • Great interpersonal skills and excellent oral and written communication skills. Able to manage work with internal stakeholders and vendors.
  • Willingness and desire to learn new environment and tools and advance your knowledge. Keeps up to data with new research and integrated applications in the area of data science.
  • Able to work with loosely defined requirements and exercise analytical skills to clarify questions, share methodology/approach, and build/test solutions.

Technical Qualifications:

  • At least 3 years of experience in designing, building data warehouses or data lakes
  • Prior experience on applications analysis, design and development
  • Must understand how to interpret customer business needs and translate them into application and operational requirements.
  • Must have extensive knowledge of emerging industry practices
  • Must have experience in cloud tools from either Azure, AWS, or GCP

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