Data Engineer Gcp: Scalable Data Platforms Developer

2 semanas atrás


Lisboa, Lisboa, Portugal Celfocus Tempo inteiro

At Celfocus, we are seeking a highly skilled Data Engineer to join our team. This is an exciting opportunity to work on building and maintaining scalable data platforms using cutting-edge technologies.

About the Role:

We are looking for a talented individual who can design, develop, and maintain large-scale data processing systems. As a Data Engineer, you will be responsible for implementing data pipelines and integration solutions that enable data scientists, analysts, and other stakeholders to access and analyze data effectively.

Your Key Responsibilities:

  • Design, build, and maintain scalable data platforms using cloud-based services such as GCP.
  • Collect, process, and analyze large and complex data sets from various sources.
  • Develop and implement data processing workflows using data processing framework technologies such as Spark and Apache Beam.
  • Collaborate with cross-functional teams to ensure data accuracy and integrity.
  • Ensure data security and privacy through proper implementation of access controls and data encryption.
  • Extraction of data from various sources, including databases, file systems, and APIs.
  • Monitor system performance and optimize for high availability and scalability.

Requirements:

  • Experience with cloud platforms and services for data engineering (GCP).
  • 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.

What We Offer:

We offer a competitive salary range of $120,000 - $180,000 per annum, depending on experience, plus additional benefits such as health insurance, retirement plan, and paid time off.


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