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Tier-1 employer, mid-level title, metro location, and broad GCP/Spark skills increase applicant competition.
Requires GCP/Spark data migration expertise making cross-industry moves moderately transferable.
Mandatory 4+ years plus specific GCP, Spark, Python, and migration expertise enforces high filtering.
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Design and execute data migration strategies from on-premises or other clouds to GCP, migrating structured and semi-structured data to BigQuery, Bigtable, and other GCP services.
Build, optimize, and maintain scalable data migration pipelines using Python, SQL, Apache Spark/Dataproc, including batch and streaming migrations with Cloud Composer, Kafka, and Pub/Sub.
Leverage GenAI and automation for data discovery, schema mapping, migration code generation, and enable metadata management and data governance using Dataplex and Data Catalog.
4+ years of software engineering experience (or equivalent through work, training, military, education).
Experience with big data implementation and spark flow, preferably involving GCP transformation.
Proficiency in Python, SQL, Apache Spark/Dataproc, and Google Cloud Platform services like BigQuery, Bigtable, Cloud Composer, Kafka, Pub/Sub.
Work Experience Required: 4+ years of Software Engineering experience. Notice period: Not explicitly mentioned in the JD.
Strong foundation in data engineering and cloud migration with hands-on experience delivering complex data migration programs on GCP.
Experience with integrating GenAI (LLMs, embeddings, prompt engineering) into data platforms to improve migration efficiency and data governance.
Comfortable working cross-functionally, proactive in risk identification during migration, and focused on high reliability, performance, and data integrity.