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Data Engineering, Consultant

Data Engineering, Consultant

AIA Group
Early Applicant
  • Posted 25 days ago
  • Be among the first 10 applicants

Job Description

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.

If you believe in developing a better tomorrow, read on.

About the Role

This role is hands-on and will focus on designing, implementing, and integrating advanced data engineering with AI solutions integration across the enterprise.

Roles and Responsibilities:

Technical Leadership

  • Act as the technical lead for data engineering initiatives.

  • Design, build, and optimize scalable data pipelines and architectures usingenterprise tools and software.

  • Drive integration ofAPIservices and components together withenterprise data platformsfor digital applications.

- Project Delivery & Integration

  • Collaborate with internal application teams to align on projectdeliverables,timelines, integration requirements, and implementation strategies.

  • Ensure adherence to company processes for services and infraprovisioning, including user access management and compliance with governance standards.

  • Oversee end-to-end project execution, from design through deployment.

- Operation Excellence

  • Define and establish the Business-As-Usual (BAU) support model post-project implementation.

  • Participate in BAU support activities as needed, ensuring smooth operations and issue resolution.

  • Drive continuous improvement in data engineering practices and operational processes.

Vendor & Stakeholder Management

  • Serve as the primary technical liaison with external vendors, ensuring deliverables meet quality, security, and performance standards.

  • Manage vendor relationships to align with project goals, budgets, and timelines.

  • Communicate effectively with stakeholders across business and technology teams.

Innovation & Best Practices

  • Stay current with emergingData Engineeringtechnologies and assess their applicability to enterprise data solutions.

  • Champion best practices in data engineering, cloud architecture, and AI integration.

  • Contribute to the development of enterprise standards, frameworks, and reusable components.

  • Adhere to company governance processes for Azure service provisioning, access management, and security compliance.

  • Work closely with the Group CCoE and technical counterparts for component provisioning, user access, and platform governance.

Minimum Job Requirements:

  • Min8-10years ofdata engineeringdesign and developmentPlan and manage end-to-end delivery and work assignments within the assigned projects.

  • Excellent skills in Business user engagement and stakeholder management

  • Experienced in engaging business stakeholders for requirement analysis and discussions

  • Strong experience in Azure DatabricksData Engineeringin the following context:

Must-Have Skills:

1) PySpark

  • Building data pipelines

  • Data transformations

  • Spark performance tuning

2) SQL

  • Complex queries

  • Joins, window functions

  • Data modeling

3) Delta Lake

  • MERGE (upsert)

  • Time Travel

  • Partitioning

  • OPTIMIZE and VACUUM

4) Databricks Platform

  • Notebooks

  • Workflows/Jobs

  • Cluster management

  • Git integration

5)Lakehouse Architecture

  • Bronze, Silver, Gold layers

  • ETL/ELT design

Important Skills:

1) Cloud Knowledge

  • Azure Databricks (preferred for many enterprises)

  • ADLS Gen2

  • ADF

  • Azure DevOps

2) Streaming

  • Auto Loader

  • Structured Streaming

  • Kafka or Event Hub

3) Governance & Security

  • Unity Catalog

  • Access control

  • Data lineage

Nice-to-Have Skills:

1) DevOps/DataOps

  • CI/CD pipelines

  • Terraform

  • Databricks Asset Bundles

2) Programming

  • Python (mandatory)

  • Scala (optional)

- Sound experience in execution of IT projects with high level of expertise in system application and technology implementation delivery.

- Strong communication skills with ability to communicate with stakeholders.

- Strong analytical and problem-solving skills.

- Domain proficiency in insurance business and its operations.

- Able to work independently and highly self-motivated.

- Able to work with peers and other stakeholders, a team. playerexperienceand best practices infinancialindustries.

- Bachelor of Science Degree in Computer Science or related.

#LI-DNI

More Info

Key Skills

Databricks Platform

Cloud Knowledge

DevOps DataOps

Governance Security

Lakehouse Architecture

Delta Lake

About Company

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