Big Data Engineer - AI Team : Hearst Corporation
ShiftCode Analytics
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Interview: Video Visa: USC, GC, GC EAD, H4 This is hybrid from day-1 (need only local candidates)
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NO VIOP OR GOOGLE VOICE NUMBERS – NO LENGHTY RESUMES PLEASE
LOCAL CANDIDATES ONLY Qualifications & Skills:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field
- At least 5 years of experience in data engineering or a similar role (previous DBA experience is a plus)
- Experience with big data frameworks and tools, such as Spark, Hadoop, Kafka and Hive
- Expert in SQL, including a knowledge of efficient query and schema design, DDL, data modeling and use of stored procedures
- Proficient in at least one programming language, such as Python, Go or Java
- Experience with CI/CD, containerization (ex: docker, K8s) and orchestration (ex: Airflow)
- Experience building production systems with more modern ETL, ELT and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search
- Experience deploying data infrastructure on cloud platforms (AWS, Azure, or GCP)
- Strong knowledge of data quality, data governance, and data security principles and practices
- Excellent communication, collaboration, and problem-solving
Vacancy posted 1 day ago
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