Ab Initio, Hadoop, ETL, Hive, SQL, Oracle, ExpressIT, and Unix Extensive Hands-on Hadoop Framework Ability
Initio, Hadoop, ETL, Hive, SQL, Oracle, ExpressIT, and Unix
· Extensive Hands-on Hadoop Framework
Senior Data Engineer Skills: SQL, Python, Java, Hadoop Experience: Designing, building, and maintaining Utilize your expertise in SQL, Python, Java, and Hadoop to ensure efficient data flow and transformation systems. Strong proficiency in SQL, Python, Java, and Hadoop. Track record of optimizing and managing large
experience
environments including Unix, Docker, Kubernetes, Hadoop, Kafka, Nifi or Spark or Cloud-based big data processing Analytics Experience of Big Data technologies such as Hadoop, Spark and Hive At least 5 years' advanced experience
data warehousing principles and experience with Hadoop components will be invaluable as we strive to optimize relational and non-relational. Experience working with Hadoop components (e.g., HDFS, Hive, Spark) and related
systems using distributed frameworks like Apache Hadoop. Collaborate with data analysts to understand data PySpark, Scala Big Data Processing Frameworks: Apache Hadoop, Spark, Flink Distributed Storage: HDFS, Cloud
DB
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Familiarity with big data technologies such as Hadoop, Spark, and Kafka is usually a requirement as well
science certification such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning or Cloud Infrastru