Hadoop Engineer
Vor 4 Tagen
We are seeking an experienced AWS Hadoop Data Engineer.
You will be responsible for designing, building, and optimizing data pipelines and processing frameworks on the AWS cloud platform.
Responsibilities:Minimum of 8 years of experience as a Data Engineer, with strong expertise in Hadoop ecosystem components like HDFS, Hive, Spark, and MapReduce.Extensive experience in designing and implementing data processing workflows using tools such as Apache Airflow or AWS Step Functions.Proficiency in programming languages such as Java or Scala.Strong knowledge of AWS services such as S3, EMR, Redshift, Glue, and Athena.Experience in building and optimizing data pipelines and data warehouses.Understanding of data modeling and database design principles.Strong problem-solving and troubleshooting skills.Excellent communication and collaboration skills to work effectively in a team.AWS Certified Big Data - Specialty certification is a plus.About UsZone IT Solutions is an Australia-based Recruitment Company.
We specialize in Digital, ERP, and larger IT Services.
We offer flexible, efficient, and collaborative solutions to any organization that requires IT experts.
Our agile, agnostic, and flexible solutions will help you source the IT expertise you need.
Our delivery offices are in Melbourne, Sydney, and India.
If you are looking for new opportunities, please share your profile at or contact us at .
Also, follow our LinkedIn page for new job opportunities and more.
Zone IT Solutions is an equal opportunity employer, and our recruitment process focuses on essential skills and abilities.
We welcome applicants from a diverse range of backgrounds, including Aboriginal and Torres Strait Islander peoples, people from culturally and linguistically diverse (CALD) backgrounds, and people with disabilities.
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Hadoop Engineer
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Sydney, Österreich Pravallika B - Senior Recruitment Consultant - Zone IT Solutions VollzeitWe are seeking an experienced AWS Hadoop Data Engineer.You will be responsible for designing, building, and optimizing data pipelines and processing frameworks on the AWS cloud platform.Responsibilities: Minimum of 8 years of experience as a Data Engineer, with strong expertise in Hadoop ecosystem components like HDFS, Hive, Spark, and MapReduce.Extensive...
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