Senior Data Engineer
Skills
About This Role
Overview
QuantumGate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions.
Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.
We are seeking a talented and motivated Data Engineer to join our fast-growing ML-team.
The ideal candidate has strong experience with distributed data processing, NoSQL databases, and modern data lake technologies.
You will play a key role in designing and maintaining scalable data pipelines that power business intelligence, analytics, and machine learning initiatives.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Apache Spark and/or similar solutions.
- Manage and optimize large datasets stored in Apache Iceberg tables.
- Design, build, and optimize data infrastructure.
- Integrate data from various sources including MongoDB, APIs, and flat files.
- Optimize data processing workflows for batch and real-time analytics.
- Implement and enforce data governance, data quality, and security best practices.
- Troubleshoot and resolve data-related issues in dev/production environments.
- Work closely with data scientists, analysts, and product teams to understand data needs and deliver efficient solutions.
- Monitor pipeline performance and troubleshoot data quality issues.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field.
- 3+ years of experience in data engineering or related roles.
- Strong hands-on experience with:
- o Apache Spark (PySpark, Scala, or Java)
- o MongoDB (data modeling, aggregation framework, replication)
- o Apache Iceberg or other data lake table formats (Delta Lake, Hudi)
- Proficient in SQL and at least one programming language (Python, Scala, or Java).
- Experience with data pipeline orchestration tools (e.g., Airflow).
- Understanding of data warehousing concepts (star schema, partitioning).
- Familiarity with cloud platforms such as AWS or Azure.
- Nice to have qualifications
- Experience with stream processing (e.g., Kafka, Flink).
- Experience with Kubernetes for containerized data workloads.
- Familiarity with CI/CD practices and infrastructure as a code (e.g., Terraform)
- Join us to drive innovation and shape the future of technology!
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