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Known global brand, metro location, mid-level generalist data support role with common skills increases applicant competition.
Core Python, SQL and big-data skills are transferable, though healthcare domain knowledge moderately increases specificity.
Explicit 4–7 years requirement and mandatory Python/SQL and production support skills create stringent filters.
Serve as single point of contact providing L1 and L2 technical support for multiple Applied Data Science Center (ADSC) products, ensuring timely resolution of user queries and issues.
Collaborate with product managers, development teams, and upstream applications for smooth data flow, continuous improvement, and unified customer experience.
Maintain knowledge base, update documentation, conduct user training, track KPIs through dashboards, and support smooth product operations.
Bachelor's degree in Information Science, IT, Computer Science, or Engineering.
4 to 7 years of experience supporting complex production systems.
Proficient in Python scripting and SQL programming; basic knowledge or interest in HTML, CSS, and JavaScript.
Experience with client-facing support in global teams; knowledge of big data technologies (Hive, Impala, Sqoop, Oozie, HDFS, Kafka) and production support processes preferred but not mandatory.
Experienced in handling product support and technical issue resolution in a fast-paced, multi-stakeholder environment.
Comfortable working globally with cross-functional teams, coordinating between product users, developers, and upstream teams.
Demonstrates strong analytical skills for root cause analysis and capability to lead/support continuous product improvements.