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Strong Tier-1 brand, metro location, and mid-level data role increase applicant competition.
Core data engineering skills transfer, but SnapLogic and Kafka requirements add domain-specific constraints.
Mandatory 6+ years and required SnapLogic and Kafka skills create strict shortlisting filters.
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Design, build, and maintain SAP data integration and ETL pipelines using SnapLogic and Kafka.
Develop and optimize complex SQL queries and work with large-scale structured and unstructured data in data warehouse environments.
Collaborate with data analysts, data scientists, and business stakeholders to ensure data quality, integrity, governance, and clear documentation of workflows and processes.
6+ years of work experience in data integration and ETL development.
Mandatory skills: SnapLogic and Kafka.
Education required: Master of Business Administration (MBA).
Work Experience Required: 6+ years.
Experienced in designing scalable data solutions across cloud and big data environments.
Proficient in developing ETL pipelines and integrating Kafka with other platforms.
Strong SQL skills for supporting business analytics and reporting tasks.