Senior Data Engineer

About the Project

Building and maintaining large scale data systems in big data environment.

Responsibilities

. Design, develop, and maintain Big Data solutions for both structured and unstructured data environments.

. Work with traditional structured databases such as Teradata, Oracle, and perform SQL/PLSQL development.

. Manage and process large datasets using the Hadoop ecosystem, including tools like HIVE, Impala, HDFS, Spark, Scala, and HBase.

. Develop and implement modern data transformation methodologies using tools like DBT.

Skills/Requirement

. Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field.

. Experience in Data Engineering, Big Data solutions, and analytics functions

. Strong background in traditional structured database environments such as Teradata / Oracle, SQL & PL/SQL.

. Fluent in the management of structured and unstructured data, as well as modern data transformation methodologies and tools like DBT.

. Proficient in Hadoop ecosystem components (e.g., HIVE, Impala, HDFS, Spark, Scala, HBase)

. Hands-on experience working on real-time data and streaming applications using Kafka or other similar tools

. Hands-on experience in automation process - building procedures, ETL and automated job scheduling using data integration tool such as Talend

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