AWS Data Engineer (Machine Learning/AI) Consultant - Engineering - PH PDC

Manila, PH

Deloitte

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Title: Cloud (Data Engineer) Consultant based in Deloitte Consulting Philippines Delivery Center

 

Are you ready to unleash your potential?

 

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve.

 

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices.

 

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals.

 

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognized for their contributions.

 

Ready to unleash your potential with us? Join the winning team now!

 

 

Work you will do

 

Deloitte’s Engineering offers help to enable organization’s end-to-end journey from on-premise legacy systems to the cloud, from design through deployment, and leading to the ultimate destination—a transformed organization primed for growth.

As a Cloud Engineer, you will help build and connect sustainable cloud-native systems to thrive in the cloud ecosystem. Services include: Strategy & Architecture; Assets & Industry Solutions, and; Engineering & Integration.

Key responsibilities include:

 

  • Design and build robust data pipelines, preferably with Databricks, ensuring efficient handling of large-scale data operations.
  • Manage and optimize SQL databases for data ingestion, transformation, and storage, ensuring high performance and reliability.
  • Utilize Python to develop and enhance data engineering solutions, including advanced data manipulation and automation.
  • Implement and integrate Machine Learning (ML) and AI solutions, with a focus on Generative AI to drive data insights and innovation.
  • Work with AWS cloud data services to leverage cloud-based tools for data processing, storage, and analytics.
  • Collaborate with stakeholders to translate business requirements into technical solutions, ensuring alignment with project goals.
  • Stay current with emerging technologies and best practices in data engineering, maintaining a forward-thinking approach.
  • Promote an inclusive environment within the Illuminate Data team and across the broader Illuminate Product team.
  • Mentor and guide junior data engineers, fostering their growth and achieving team objectives.

 

 

Your role as a leader

 

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants across our Firm are expected to:

  • Demonstrate a strong commitment to personal learning and development.
  • Understand how our daily work contributes to the priorities of the team and business.
  • Understand the set expectations and demonstrate accountability in keeping personal performance on track.
  • Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
  • Demonstrate an appreciation for working with others.
  • Understand what is fundamental to Deloitte’s success as a business.
  • Demonstrate integrity and an awareness of strengths, differences, and personal impact.
  • Develop their understanding of Deloitte and offer a fresh perspective.

 

 

Enough about us, let’s talk about you

  • Bachelor’s degree in Software Engineering, Information Technology, or equivalent
  • 2+ years of pipeline design and build experience on Databricks for handling large data volumes and ensuring seamless data flow.
  • Strong data engineering skills with SQL databases, including experience with complex data management and transformation tasks.
  • Proficiency in Python for developing data engineering solutions, from data ingestion to advanced processing.
  • Experience with Machine Learning (ML) and AI, particularly with Generative AI technologies, to enhance data-driven decision-making.
  • Hands-on experience with AWS cloud data services, including tools for data storage, compute, and processing.
  • Solid understanding of data modeling, database design, and ETL processes.
  • Strong problem-solving skills and the ability to resolve data engineering challenges effectively.
  • A proven ability to design and integrate complex data pipelines within business systems.

 

 

What is in store for you?

  • Embrace the dynamic nature of our work environment with the opportunity to work on a hybrid set-up and a shifting schedule.
  • Rewards platform – your hard work won't go unnoticed at Deloitte!
  • Training and development - at Deloitte we believe in investing in our best assets, the people! You will have access to world class training and funding towards industry and other professional certifications.
  • Receive support and mentoring to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression.
  • Benefits effective upon hiring including paid time off and holidays, health, and life insurance!

 

Next Steps

Sound like the sort of role for you? Apply now.

 

Due to volume of applications, we regret only shortlisted candidates will be notified.

Candidates will only be contacted by authorized Deloitte Recruiters via firm’s business contact number or business email address.

 

© 2024 DCPDC Inc.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture AWS Consulting Databricks Data management DataOps Data pipelines Engineering ETL Excel Generative AI Machine Learning Pipelines Python SQL

Perks/benefits: Career development Health care

Region: Asia/Pacific
Country: Philippines

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