Data Engineer (Bigdata & AWS)

Location Singapore
Job reference BBBH106691_1635323199
Salary Negotiable
Consultant name Goel Navneet
Consultant email
Consultant contact no. 65515581
EA License No. 02C3423
Consultant Registration No. R1982194


  • Creation and maintenance of optimal Data lake pipeline architectures.
  • Stay abreast of industry trends and enable successful data solutions by leveraging best practices.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Partnering effectively with inhouse Products, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and AWS 'big data' technologies.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Keep our data separated and secure within national boundaries through multiple AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

    Experience / Training:
    5+ years of Experience in Data Analytics.
    2+ years of experience in AWS cloud (AWS solution architect / AWS Certified Data analytics certification will be preferable)

    Bachelor/Master/Engineering in IT/Computer science/software engineering or relevant experience.
  • Bachelor/Master/Engineering in IT/Computer science/software engineering or relevant experience.
  • 5+ years of experience in software engineering and Big Data Analytics.
  • Prior experience on AWS cloud services EC2, Glue, Athena, S3, EKS, RDS, Redshift, Data pipeline, EMR, DynamoDB, cloud watch.
  • Experience in creating and maintain Data lake on AWS cloud.
  • Experience in Big Data analytics tools like Hadoop, Spark, Kafka etc...
  • experience in collecting data from different source systems and create ETL pipelines to handle complex data sets & uncertain schema changes in data.
  • experience in Python programming and analytics libraries like Pandas, NumPy etc...
  • experience on Analytics skills and complex SQL based queries implementation.
  • Data engineer also need to very passionate about efficient/accurate code development, optimizing performance of organization Data lake.
  • Good experience in UNIX based shell scripting.
  • Support to Data scientist team for data availability, extract & provide required data sets.
  • Coordinating with various teams and clients to provide data based on specific requirements

Goel Navneet License No.: 02C3423 Personnel Registration No.: R1982194

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