Job Description
About Accenture
Accenture is a leading global professional services company that helps the world's leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, 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
Job Title: Teradata Data Engineer
Experience Level: Junior (L2 - 3 to 5 years)
Location: Kuala Lumpur
Job Summary:
We are seeking a Teradata Data Engineer to join our Enterprise Data Warehouse (EDW) team. The successful candidate will be responsible for designing, developing, maintaining, and supporting enterprise data solutions across Teradata, Cloudera Hadoop, Oracle, and Informatica platforms. This role involves collaborating with business and technical stakeholders to deliver scalable data integration, reporting, and analytics solutions that support the bank's data and analytics initiatives.
Responsibilities:
Design, develop, and maintain ETL/ELT processes for enterprise data warehouse solutions.
Develop and optimize Teradata, Oracle, and SQL-based data pipelines for large-scale data processing.
Build and maintain data integration workflows using Informatica Data Integration tools (BDM, IDQ, IDL).
Support data ingestion and processing on Cloudera Hadoop platforms using Hive, Spark, Impala, Kafka, and HUE.
Perform data analysis, data validation, and reconciliation to ensure data quality and integrity.
Collaborate with business analysts, system analysts, and application teams to translate business requirements into technical solutions.
Develop dashboards and reports using Qlik Sense, Microsoft Power BI, or Business Objects.
Monitor and troubleshoot production data jobs, resolving issues and optimizing performance.
Participate in code reviews, testing, deployment, and production support activities.
Utilize DevOps and source code management tools such as Jenkins, Bitbucket, SonarQube, JIRA, and Control-M to support software delivery and scheduling.
Create and maintain technical documentation, data mappings, and operational procedures.
Requirements:
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
3-5 years of experience in data engineering, enterprise data warehouse (EDW), or system analysis.
Hands-on experience with Teradata IntelliFlex, Cloudera Hadoop Distribution (6.x), and Oracle.
Experience with Informatica Data Integration tools, including BDM, IDQ, and IDL.
Strong SQL development skills across Teradata, Oracle, SQL Server, PostgreSQL, and DB2.
Experience with big data technologies, including Spark, Hive, Impala, Kafka, HUE, and Cloudera Data Science Workbench.
Knowledge of data visualization and reporting tools such as Qlik Sense, Microsoft Power BI, and Business Objects.
Familiarity with Python, R, and R Studio for data processing and analytics.
Experience with DevOps and CI/CD tools, including Jenkins, Bitbucket, SonarQube, JIRA, and Control-M.
Working knowledge of operating systems including Linux, Windows, AIX, and AS400.
Experience with Teradata tools such as TD Studio, Viewpoint, IFX, MDM, and FSLDM/GCFR is preferred.
Good understanding of data modeling concepts, including FSLDM and data mart design.
Preferred Domain Knowledge:
Candidates should have experience in at least one of the following banking or financial domains:
Finance Analytics
Credit Risk Analytics
Credit Scoring and Decision Support Systems
Treasury & Wealth Management (Murex)
Trade Finance and Accounts Receivable Management (FITAS, ARF)
Retail Banking and Card Systems (SilverLake)
Enterprise Data Modeling (FSLDM / Data Marts)
Preferred Skills:
Experience with AS400, Experian PowerCurve, or SAS is an advantage.
Strong analytical and problem-solving skills with the ability to work on complex data integration initiatives.
Excellent communication and stakeholder management skills.
Ability to work effectively in an Agile or DevOps environment.
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.
