Data Engineer

Posted:
8/21/2024, 1:06:09 PM

Location(s):
Kuala Lumpur, Malaysia

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
Data & Analytics

We are seeking an experience data engineer who is comfortable with implementing ETL, automation, modeling and working with large datasets in a fast-paced team with data architects, business SMEs and technical developers. The data engineer will use Talend and Snowflake primarily along with understanding and reverse engineering Alteryx workflows and follow principles of Data Vault modeling. Knowledge of Data Vault design methodology, Data Ops, Monte Carlo, or similar tools, and Snowflake will be essential.   
Key responsibilities:
  • Breakdown requirements, understand logical data models and deliver robust data pipelines(ETL) to specifications
  • Own development artifacts and follow established dev, test, deployment principles and processes
  • Ensure build meets stated design and specifications
  • Ensure all development, flows and designs are documented, communicated, updated, and managed in an appropriate manner
  • Experienced in modern cloud-based data architecture (Talend/Snowflake including SQL)
  • Implementation experience in cloud data warehousing projects
  • Expertise in ETL and scheduling tools
  • Experienced in Talend or similar (e.g. DBT)
  • Understanding of Alteryx Workflows and recreating it using Talend components
  • Python experience recommended
  • AWS S3/Lambda/Glue/Dev-Ops (AWS data-engineering exposure, hands-on experience)
  • Experienced with CICD pipelines, and working and deploying in large delivery teams
  • Self-driven and constantly striving to improve delivery
  • Optional: Digital Media and Marketing Services experience
#LI-GM

Qualifications:

  • Minimum 1-4 + years designing and implementing large scale data loading, manipulation, processing solutions. 

  • High proficiency in data integration package 

  • High proficiency in Snowflake + MSSQL, Wherescape, ETL, Informatica, or Talend 

  • Experience in streaming integration development 

  • Cloud development experience (e.g. AWS, Azure) 

  • Experience in implementing solutions using Hadoop/NoSQL technologies (e.g. HDFS, Hbase, Hive, Sqoop, Flume, Spark, MapReduce, Cassandra, MongoDB etc.)  

  • Deep familiarity with RDBMS 

  • Strong proficiency in SQL 

  • Able to design and implement relational data models  

  • Undergraduate degree at minimum in Comp Science/ Information Systems.

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 Al 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 3600 value, enable us

to help our clients reinvent and build trusted, lasting relationships. We measure our success by

the 3600 value we create for our clients, each other, our shareholders, partners and

communities. Visit us at www.accenture.com

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

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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