Lead Big Data Engineer
1 day ago
Kloud9 is seeking a highly skilled Lead Big Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for leading the design and implementation of large-scale data engineering projects on the Google Cloud Platform (GCP).
The ideal candidate will have extensive experience in building data ingestion pipelines, managing big data processing using Apache Spark, and integrating SAP S/4HANA with GCP cloud infrastructure. You will work closely with our team to develop and implement end-to-end data architectures leveraging GCP services such as Big Query, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer.
Responsibilities and Requirements- Design and implement scalable data architectures leveraging GCP services for large-scale data ingestion and processing.
- Build and optimize large-scale data pipelines using Apache Spark on GCP (via Dataproc or other Spark services) ensuring high performance and scalability.
- Lead the integration of SAP S/4HANA data with GCP for real-time and batch data processing, managing data extraction, transformation, and loading (ETL) processes from SAP S/4HANA into cloud storage and data lakes.
- Develop and manage scalable data ingestion pipelines for structured and unstructured data using tools like Cloud Dataflow, Cloud Pub/Sub, and Apache Spark.
- Provide architectural guidance for designing secure, scalable, and efficient data solutions on the Google Cloud Platform.
The estimated salary for this position is $180,000 - $250,000 per year.
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