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Data & AI Engineering
Jakarta
Job No. r00248859
Full-time - On-Site
Job Description
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.
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Qualifications
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.
