Data Engineer Consultant (Junior & Senior) 1 at EY
Jakarta, JKT, Indonesia -
Full Time


Start Date

Immediate

Expiry Date

11 Jul, 25

Salary

0.0

Posted On

11 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

User Acceptance Testing, Training, Features, Decision Making, Business Requirements, Automation, Data Processing, Technology, Data Quality, Etl, Pipeline Design, Maintenance, Platforms, Collaboration

Industry

Information Technology/IT

Description

ABOUT EY:

EY, a global leader operating in more than 150 countries delivers unparalleled service in Consulting and assists clients to transform and upskill their capabilities.
We serve our clients to build a better working world, helping them to create long-term value for people and society and build trust in the capital markets. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we work towards our ambition to be the best employer.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The exceptional EY experience. It’s yours to build.
We look forward you to joining us in the EYDS AI and Data team:

JOB DESCRIPTION:

  • Design and implement scalable data pipelines to support data processing and analytics.
  • Conduct user acceptance test, user training.
  • Develop and maintain ETL processes using Microsoft Azure Data Factory and Azure Databricks.
  • Collaborate with data scientists and analysts to understand data requirements.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Optimize data storage and retrieval processes for performance and efficiency

TECHNICAL SKILL:

  • Python/Scala for data processing, ETL, and automation
  • Data pipeline design and implementation
  • Data modelling
  • ETL development and maintenance
  • Data quality and integrity management
  • Optimizing data storage and retrieval
  • User acceptance testing (UAT) and training
  • Collaboration with data teams

SKILLS AND ATTRIBUTES FOR SUCCESS:

  • Outstanding team player
  • High level of motivation
  • Strong work ethic
  • Self-starting attitude
  • Independent and able to manage and prioritize workload
  • Ability to quickly and positively adapt to change
  • Excellent written and verbal communication, presentation, client service, and technical writing skills, coupled with excellent executive presence.
  • Significant experience in managing and delivering medium to large teams on complex programs and projects.
  • Assessing, designing, architecting, and developing solutions leveraging the latest technologies and trends to exceed the business requirements
  • Unifying, enriching, and delivering value to derive insights and opportunities
  • Leveraging in-house and partners - platforms and solutions as needed and recommending and building new platforms/solutions as required to exceed business requirements
  • Communicating findings, recommendations, and opportunities to improve platforms and solutions
  • Demonstrating a deep understanding of technology, concepts, tools, features, functions, and benefits of different approaches
  • Seeking out information to learn about emerging methodologies and technologies
  • Clarifying problems by driving to understand the true issue
  • Looking for opportunities for improving methods and outcomes
  • Collaborating, influencing, and building consensus through constructive relationships and effective listening
  • Solving problems by incorporating data into decision making
  • Proven track record of sales and delivery in a consulting context with established client relationships and experience
Responsibilities

You’ll spend most of your time working with a wide variety of clients and your colleagues to deliver the latest trends, practices, technologies, and architecture to design, build and maintain scalable and robust solutions that unify, enrich, collaborate and deliver value.

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