Data Engineer | Azure

Celfocus is seeking a Data Engineer to build and maintain Data Platforms. This role focuses on designing, developing, and maintaining data pipelines and integration solutions, ensuring efficient data flow and high data quality. The ideal candidate will collaborate with cross-functional teams and be driven by data for business success.

Requirements

• Experience with cloud platforms and services for data engineering (AZURE)
• Proficiency in programming languages like Python, Java, or Scala
• Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
• Knowledge of data modeling and database design principles
• Familiarity with data integration and ETL tools (e.g., Apache Kafka, Talend)
• Understanding of distributed systems and data processing architectures
• Strong SQL skills and experience with relational and NoSQL databases
• Familiarity with cloud platforms and services for data engineering (e.g., AWS S3, Azure Data Factory)
• Experience with version control tools such as Git

Benefits

• Competitive salary
• Opportunities for professional development
• Inclusive workplace