3 of 3 Remote/Hybrid Permanent HDFS Jobs

Bonus Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating cloud-based ingestion and transformation frameworks. Experience delivering data engineering solutions within highly regulated industries such ...

Bonus Points For Expertise in data modelling, schema design, and working with structured and semi-structured datasets. Experience with distributed technologies including Hadoop, Spark, HDFS, Hive, Databricks, or AWS Lake Formation. Knowledge of automating ingestion and transformation frameworks within cloud-native data platforms. Experience delivering solutions within highly regulated industries ...

data pipelines, managing big data platforms, and transforming high-volume structured and unstructured financial data into actionable insights. Proficient in Hadoop ecosystem technologies including HDFS, Hive, Spark, Sqoop, Kafka, Oozie, and YARN , along with SQL and cloud-based data platforms Hybrid working: The places that you work from … data marts for reporting, analytics, and machine learning use cases. Monitor and troubleshoot batch and real-time data processing jobs. Your Skills: Hadoop Ecosystem: HDFS, Hive, Spark, MapReduce, YARN, HBase Data Integration: Sqoop, Kafka, Flume, NiFi Programming: Python, Scala, Java, Shell Scripting Databases: Oracle, SQL Server, MySQL, PostgreSQL Cloud ...