
Highly Skilled Data Engineer Wanted
2 days ago
We are seeking a highly skilled and experienced Senior Data Engineer to drive our data initiatives forward. The ideal candidate will possess a minimum of 5 years of overall IT experience and 2+ years in the field of software development with Big Data technologies, microservices design and development, event-based architectures in cloud environments.
- Key Responsibilities:
- - Design, develop, and maintain scalable data pipelines and solutions using Big Data technologies (e.g., Apache NiFi, Kafka, Spark, Hive, HDFS)
- - Implement event-driven and microservices-based architectures in cloud environments, preferably Google Cloud Platform (GCP)
- - Automate data flows and build near real-time data pipelines using Apache NiFi and Kafka
- - Work with large-scale datasets from structured and unstructured sources, utilizing the Hadoop ecosystem (HDFS, Hive) for data storage and analysis
- - Leverage RDBMS and NoSQL databases to support data ingestion, transformation, and querying
- - Write clean, maintainable, and efficient code following best practices (DRY, KISS, SOLID, Clean Code)
- - Use Python, SQL, and Shell scripting for data processing and orchestration
Requirements:
- - Strong database skills: at least one of SQL databases (Oracle, Teradata, MySQL, PostgreSQL, MS SQL Server) and at least one of NoSQL databases (MongoDB, Apache Hbase)
- - Experience with one of Cloud platform providers (AWS, GCP, Azure) - GCP preferred
- - Knowledge of Spark, Hadoop, Apache Kafka, Apache Nifi, Apache Spark, Apache Hive, Apache HDFS, Apache Oozie, SQL, Python, Google SDK, REST API, Linux
- - Familiarity with BigQuery, DataProc, Java SpringBoot is a plus
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