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EDW Developer Sr Hadoop
Kuala Lumpur
Job No. 12841597
Full-time - On-Site
Job Description
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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 approximately 750,000 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
SN50 WO#1 Data
Job Title: Senior Developer - EDW (Enterprise Data Warehouse)
Experience Level: Senior (6-9 years of experience)
Domain: Data
Sub-Domain: EDW (Enterprise Data Warehouse)
Location: Kuala Lumpur
Job Summary:
We are seeking a skilled and experienced Senior Developer to join our EDW team. The ideal candidate will have a deep understanding of data warehousing concepts, extensive experience in developing and maintaining data integration solutions, and the ability to work with large-scale databases and complex data systems. This role involves working with advanced data integration platforms, providing support for our Global Data Warehouse (GDW), and ensuring seamless data flow across various platforms and databases.
Key Responsibilities:
Data Integration & ETL Development:
Design and develop workflows to move and process data using tools like Informatica, TeraData, and Cloudera Hadoop.
Build and maintain data pipelines that load data into the Enterprise Data Warehouse (EDW).
Data Management:
Manage and query data using databases such as AS400 DB2, TeraData, Oracle, SQL Server, and PostgreSQL.
Ensure data quality and accuracy through data validation and testing.
Collaboration & Reporting:
Work with other teams to understand business data needs and create reports using tools like Power BI, QLIK Sense, and Business Objects.
Optimization & Performance Tuning:
Improve the performance of data processes and queries on large datasets, ensuring they run efficiently.
DevOps & Automation:
Automate data processes and deploy changes using Jenkins, Bitbucket, and Control-M.
Set up CI/CD pipelines to streamline data workflows.
Support & Troubleshooting:
Provide support for data systems, resolve issues, and ensure smooth data operations.
Technical Skills & Tools:
Platforms/Products: Cloudera Hadoop (6.X), TeraData Inteliflex, AS400, Informatica (BDM, IDQ, IDL), MS Business Intelligence, QlikSense Discovery, SAS, Microsoft R, Experian PowerCurve.
Databases/Servers: AS400 DB2, TeraData, Oracle, SQL Server, Postgres.
Languages/Tools:
TL: Informatica, TeraData Studio, TD IFX, MDM, FSLDM/GCFR, Oracle SQL Developer.
Big Data: Cloudera (Data Science workbench, Spark, HUE, Hive, Impala, Kafka).
Reporting & BI: Qlik Sense, Power BI, Business Objects.
DevOps: Jenkins, Bitbucket, SonarCube, Control-M, PUTTY, Aldon.
Operating Systems: AS400, AIX, Linux, Windows.
Qualifications
Required Qualifications:
6-9 years of experience in data warehousing, data integration, and ETL development.
Strong hands-on experience with Cloudera Hadoop, TeraData, and Informatica platforms.
Expertise in working with large-scale databases such as TeraData, Oracle, SQL Server, and Postgres.
Proficiency in programming languages like SQL, Python (for data science work), and relevant big data tools.
Experience with data modeling, data architecture, and developing scalable data solutions.
Familiarity with GDW (Global Data Warehouse) operations and best practices.
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.
