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Tier-1 brand plus a popular mid-level data engineer role with broad skill requirements creates high competition.
Core data engineering skills are transferable, but enterprise tools and cloud platform expectations add moderate domain specificity.
Multiple mandatory technologies and platform skills increase filtering, though no explicit years requirement is listed.
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Develop and maintain scalable data processing platforms supporting Corporate Functional Data IT.
Maintain and optimize multiple data pipelines; integrate advanced technology for faster insights.
Participate in full software development lifecycle for data-related applications and collaborate across teams for operational alignment.
Bachelor’s degree in Engineering, Technology, or related field.
Good understanding of Data Warehousing, data transformation, and pipelines.
Proficiency with cloud data platforms (preferably Snowflake), ETL/ELT tools (Informatica, DBT), and data streaming technologies (Kafka).
Scripting/programming skills in Unix shell scripting, Python, and SQL.
Experienced in delivering data integration solutions with focus on data availability and architecture acceleration.
Able to operate in cross-functional teams collaborating with engineering and platform teams.
Familiar with automation framework development and continuous innovation in data infrastructure.