Data & AI Engineering

Posted:
9/4/2024, 3:04:56 PM

Location(s):
Java, Indonesia ⋅ Special capital Region of Jakarta, Java, Indonesia

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

About Accenture

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 505,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com 

Role Summary:

 

At Accenture, every day is an opportunity to make a significant impact. As a Data & AI Engineer, you'll play a pivotal role in shaping the future of our clients' businesses by designing, building, and maintaining robust data platforms and AI solutions.

Responsibilities:

  • Data Platform Architecture: Design and implement scalable data platforms, including data lakes, data warehouses, and data pipelines, leveraging cloud technologies (AWS, Azure, GCP) and open-source tools (Spark, Kafka, Presto, Hive, Cassandra).
  • Data Engineering: Develop and maintain data pipelines, ETL/ELT processes, and data transformation logic to extract, transform, and load data from various sources into target systems.
  • AI Model Integration: Collaborate with data scientists to integrate machine learning models into production environments, ensuring efficient data flow and optimal performance.
  • Data Governance: Implement data governance policies and standards to maintain data quality, security, and compliance.
  • Performance Optimization: Continuously monitor and optimize data platform performance to ensure efficient data processing and analysis.
  • Problem-Solving: Identify and troubleshoot technical issues related to data pipelines, AI models, and data platforms.

#LI-GM

Qualifications

Qualifications:

Required:

  • Strong experience in data engineering concepts, tools, and technologies (e.g., Spark, Kafka, Hadoop, Python, SQL, NoSQL).
  • Proficiency in cloud platforms (AWS, Azure, GCP) and their data services.
  • Experience with data modeling, data warehousing, and data lake architectures.
  • Understanding of machine learning algorithms and their applications.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

Preferred:

  • Experience with AI frameworks (TensorFlow, PyTorch) and machine learning pipelines.
  • Certification in cloud platforms or data engineering.
  • Familiarity with data governance and compliance frameworks (e.g., GDPR, CCPA).
  • Experience with real-time data processing and streaming technologies.


You will also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 742,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing