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Tier-1 brand, remote option, popular data engineer title, and metro location increase applicant competition.
Requires deep Spark/Scala and Synapse data engineering expertise, limiting cross-industry portability.
Strict mandatory skills, explicit 8–10 years, immediate mobilization, and hands-on requirement.
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Implement, maintain, and optimize data pipelines and solutions on the Symphony platform for specific markets using Scala, SQL, and Apache Spark.
Adapt core Symphony platform architecture to meet market-specific data requirements while adhering to global standards and metadata-driven frameworks.
Manage code via GitHub, resolve data quality issues, and collaborate with global and local teams to ensure performance, scalability, and alignment with architecture.
8–10 years of hands-on data engineering experience.
Strong proficiency in Apache Spark, Scala and/or Java (code-first), advanced SQL, and Azure Synapse.
Experience with data warehousing, multi-source data integration, and working knowledge of GitHub for version control.
Must be able to mobilize immediately and support multiple markets if required.
Experienced in offshore delivery models supporting multi-market or global data platforms.
Skilled in maintaining metadata-driven architectures without redefining frameworks.
Hands-on engineer with the ability to develop and optimize complex market-specific data pipelines independently.