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Deloitte SEA

T&T Senior Analyst - Engineering - Data Engineer - SG

Deloitte SEA · Singapore, Singapore

Business Consulting and Services · 5,001-10,000 employees

7 h ago
Mid (2-5 yrs) Full-time Singapore
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About the role

Design, develop, and deploy scalable data pipelines and data warehouses to support business applications. Collaborate with cross-functional teams to integrate data silos and maintain efficient, reliable data-driven products.

What they look for

Data Engineering SQL Python ETL Pipelines Cloud Platforms AWS Data Warehousing Data Modeling Big Data Frameworks API Development Database Design Data Transformation Web Scraping Agile Methodology System Design Data Governance

Requirements

Requires 2-3 years of relevant experience in data engineering with proficiency in SQL, Python, and ETL pipeline development. Candidates must have experience with cloud platforms and a strong understanding of database design and big data frameworks.

Full description

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 recognised for their contributions.

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

Work you’ll do:

  • Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
  • Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
  • Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
  • Integrate and collate data silos in a manner which is both scalable and compliant.
  • Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
  • Be responsible for developing backend APIs & working on databases to support the applications.
  • Work in an Agile Environment that practices Continuous Integration and Delivery.
  • Work closely with fellow developers through pair programming and code review process.

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, Senior Analyst 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.

Requirements:

  • Has 2-3 years of relevant working experience as a data engineer.
  • Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
  • Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
  • Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongodb, postgres/gis, mysql, sqlite, voltdb, cassandra, etc).
  • Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
  • Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
  • Experience with building production-grade data pipelines, ETL/ELT data integration.
  • Knowledge about system design, data structure and algorithms.
  • Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval.
  • Familiar with rest api and web requests/protocols in general.
  • Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka,RabbitMQ).
  • Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc).
  • Familiar with data governance policies, access control and security best practices.
  • Comfortable in at least one scripting language (eg. SQL,Python).
  • Comfortable in both windows and linux development environments.
  • Interest in being the bridge between engineering and analytics.

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

Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

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