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EA Licence: 09C3051
IT Data Architecture (Big Data / DB infrastructure)  

  • Provide technical leadership of data engineering team and own the high-level vision of data management systems within the organization.
  • Design and develop Architecture for data services ecosystem spanning Relational, Columnar, No SQL, In-Memory and Big Data technologies.
  • Design data models for mission critical and high volume data management, real-time and distributed data process aligning with the business requirements.
  • Able to recommend a DB technology based on the use-case.
  • Promote and develop data architecture best practices, guidelines, procedures and repeatable and scalable frameworks.
  • Responsible for data profiling, data analysis, data specification, data flow mappings, and business logic documentation associated with new or modified product data capture requirements
  • Suggest optimal data schema and storage options based on the context of the problem being solved
  • Able to quickly identify and resolve data integration issues (data validation and data cleansing) using various data architecture concepts and techniques.
  • Designs, a multi-platform, multi-tenant systems environment, high volume structured and unstructured data ingestion
  • Suggest optimal data schema and storage options based on the context of the problem being solved
  • ,
  • Degree / Master in Computer Science, Engineering, Statistics, Data Mining or related fields. With 10-year relevant industry experience is required.
  • Expert experience DB infrastructure.
  • Very strong SQL skills, including experience querying large, complex data sets and performance analysis.
  • Strong experience with architecting highly performant databases using PostgreSQL, PostGIS, MySQL and Cassandra.
  • Extensive experience in shell scripting, Python, Perl, Ruby, or any other scripting language
  • Thorough knowledge on database normalizations and data models.
  • Strong knowledge on partitioning and indexes.
  • Strong experience with commercial ETL platforms with in-depth knowledge and understanding of ETL methodology & design supporting data transformations transformation layer
  • Experience in In-Memory New SQL, NoSQL and Hadoop Hive/Spark.
  • Able to work independently and in a team-oriented, collaborative environment.

    Sounds like a good fit?

    If you are interested in or qualify for this position, please visit our website at to submit your application now. You may also click on the Quick Apply (pencil) icon at the bottom of this page.

    Because we strongly believe in fair employment, we practice objective merit-based consideration for all qualified applicants. If you are shortlisted for the position, you will hear from our friendly consultants personally.

    We wish you great success in your job search!