Data Engineering Leader for Scalable Data Solutions
7 days ago
Job Overview
Kloud9 is seeking a highly skilled Data Engineering Technical Architect to lead the design and implementation of scalable, high-performance data lake solutions. 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.
About the Role
We are looking for a seasoned technical leader with over 10 years of professional experience in data engineering, specializing in implementing large-scale enterprise data engineering projects with the latest technologies. A strong background in working with relational databases, NoSQL databases, and in-memory databases is essential.
The successful candidate will be responsible for:
- Designing and implementing end-to-end data architectures leveraging GCP services (e.g., Big Query, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer) for large-scale data ingestion and processing.
- Building and optimizing large-scale data pipelines using Apache Spark on GCP (via Dataproc or other Spark services). Ensuring high performance and scalability in Spark-based data processing workloads.
- Leveraging expertise in GCP technologies and Apache Spark for both batch and real-time processing, as well as proficiency in Apache Beam, Hadoop, or other big data frameworks.
- Collaborating with business stakeholders, data scientists, and engineering teams to define data requirements, ensuring the architecture aligns with business goals.
- Providing technical leadership to the data engineering team, mentoring junior engineers in data architecture, Apache Spark development, and GCP best practices.
About You
To succeed in this role, you should have:
- Over 10 years of professional experience in data engineering, specializing in implementing large-scale enterprise data engineering projects with the latest technologies.
- Expert-level programming proficiency in Python, Java, and Scala.
- Extensive hands-on experience with big data technologies, including Spark, Hadoop, Hive, Yarn, MapReduce, Pig, Kafka, and PySpark.
- Proficient in Google Cloud Platform services, such as BigQuery, Dataflow, Cloud Storage, Dataproc, and Cloud Composer Google Pub/Sub, and Google Cloud Functions.
- GCP Certifications: Such as Professional Data Engineer or Professional Cloud Architect.
What We Offer
Kloud9 offers a competitive salary range of $200,000 - $300,000 per year, depending on experience. We also provide benefits such as health insurance, retirement plans, and paid time off.
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