Senior Data Platform Engineer

QUALIFICATIONS:

Certifications: Cloud Services, Data Platform skills

15+ years of related experience in a professional role with a Bachelor’s degree; or 12+ years and a Master’s degree; or a PhD with 8+ years’ experience

Systems/Software Proficiencies: Massive Parallel Processing technologies including Teradata, Snowflake, Greenplum, Hadoop, Azure.

Experience in cloud data engineering and data processing services in Azure, Snowflake, AWS or any other cloud platforms

Experience in MPP data technologies like Teradata, Snowflake, Greenplum, Hadoop, Spark, Data Bricks

Ability to translate business requirements into non-technical, lay terms.

Have in depth knowledge from Linux Operating Systems to Application processes.

Technical expertise in data storage structures, data mining, and data cleaning.

RESPONSIBILITIES / REQUIREMENTS:

Create and maintain robust and resilient Data Platforms, ETL pipelines to process massive daily volume of data.

Providing technical expertise in data storage structures, data mining, and data cleaning.

Good understanding of Data Ingestion tools and data modelling.

Experiences with data processing pipelines and data governance.

Experience in data protection and security policies.

Have a strong attention to detail and is entrusted with providing internal and external consultative expertise, accurately documenting requirements, and defining acceptance criteria for the project.

Ability to troubleshoot technical e-2-e issues and drive towards the resolution.

Ability to analyze existing tools and databases and provide software solution recommendations.

Excellent written and oral communication skills in English.