Ab Initio, Hadoop, ETL, Hive, SQL, Oracle, ExpressIT, and Unix Extensive Hands-on Hadoop Framework Ability
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
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
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Familiarity with big data technologies such as Hadoop, Spark, and Kafka is usually a requirement as well
techniques SQL experience Big data experience such as Hadoop, Spark, AWS EMR Experience with data streaming
experience with database development Knowledge of Hadoop components and their implementation Proficiency
financial industry is preferred. Linux / Python Hadoop / Teradata AB INITIO Salary / Package R1 Million
MySQL, PostgreSQL/Oracle, Python, Java, or Scala; Hadoop, Spark, or Kafka and ETL tools such as Apache Airflow infrastructure, and Big Data technologies such as Hadoop, Spark, or Kafka. Proven experience in leading