ShiftCode Analytics
Big Data Engineer - AI Team : Hearst Corporation
ShiftCode Analytics, Troy, Michigan, United States, 48083
Interview : Video
Visa : USC, GC, GC EAD, H4
This is hybrid from day-1 ( need only local candidates )
Description :
MM/DD of DOBLast 4 of SSNVisa :Exp date on visaDL copyLinkedin
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 fieldAt 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 HiveExpert in SQL, including a knowledge of efficient query and schema design, DDL, data modeling and use of stored proceduresProficient in at least one programming language, such as Python, Go or JavaExperience 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 SearchExperience deploying data infrastructure on cloud platforms (AWS, Azure, or GCP)Strong knowledge of data quality, data governance, and data security principles and practicesExcellent communication, collaboration, and problem-solving
Visa : USC, GC, GC EAD, H4
This is hybrid from day-1 ( need only local candidates )
Description :
MM/DD of DOBLast 4 of SSNVisa :Exp date on visaDL copyLinkedin
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 fieldAt 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 HiveExpert in SQL, including a knowledge of efficient query and schema design, DDL, data modeling and use of stored proceduresProficient in at least one programming language, such as Python, Go or JavaExperience 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 SearchExperience deploying data infrastructure on cloud platforms (AWS, Azure, or GCP)Strong knowledge of data quality, data governance, and data security principles and practicesExcellent communication, collaboration, and problem-solving