About the company
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Job Summary
Key Responsibilities
📍Design and develop robust, scalable data pipelines for ingestion, transformation, and integration of structured and unstructured data. 📍Perform comprehensive data wrangling, cleaning, and transformation from multiple formats (API, CSV, XLS, JSON, etc.). 📍Work with BigQuery, DataFlow (Apache Beam), and Google Cloud Storage (GCS) to manage large-scale data workflows. 📍Implement and maintain data validation and quality assurance processes. 📍Contribute to data modeling and schema design, especially for knowledge graph development (Schema.org, RDF, SPARQL, JSON-LD). 📍Collaborate within Agile teams to deliver scalable, reliable, and efficient data solutions. 📍Apply CI/CD practices (e.g., Cloud Build) to ensure seamless development and deployment workflows.
Core Competencies
Must Have: 📍Proficiency in SQL and Python. 📍Experience with BigQuery, GCS, and GCP DataFlow / Apache Beam. 📍Proven ability to handle complex data transformations across diverse data formats.
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