Teradata Developer
Core
Design and implement data engineering solutions for analytical platforms, focusing on ETL development, data ingestion, and processing large-scale structured and unstructured data.
Role type
Senior Data Engineer (Teradata/Big Data)
Builds
Data pipelines, ETL processes, and analytical data platforms
Domain
Data Engineering / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Teradata, SQL optimization, ETL development, Spark/Scala, Kafka, HDFS, HBase, Hive, data profiling, streaming frameworks
Preferred skills
Sqoop, Flume, Storm, Spark Data Frame API
Technologies
Teradata, Spark, Scala, Kafka, HDFS, HBase, Hive, Sqoop, Flume, Storm
Responsibilities
Develop and optimize ETL processes for data ingestion and transformation. Build applications using Spark SQL and Data Frame API. Manage structured and unstructured data types. Implement streaming data solutions using Kafka or Storm.
Seniority
Senior, hands-on IC
