Big Data Engineer - AI Team : Hearst Corporation

Interview : Video

Visa : USC, GC, GC EAD, H4

This is hybrid from day-1 ( need only local candidates )

Description :

• MM/DD of DOB
• Last 4 of SSN
• Visa :
• Exp date on visa
• DL copy
• Linkedin

• 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