Data Analytics Core Engineer
Skills
- Strong Python development skills with OO, functional, and async programming
- Experience with containerization and orchestration tools, especially Docker and Kubernetes
- Proficient in CI/CD and DevOps lifecycle ownership
- Cloud platform experience including AWS and GCP, plus infrastructure-as-code tools like Terraform or Open Tofu
- Knowledge of data storage technologies including relational, NoSQL, and key-value stores
- Familiarity with big data formats such as Hadoop, Iceberg, Parquet, and Arrow
- Experience with distributed/batch computing frameworks like Dask, Ray, Spark, and Slurm
- Familiarity with streaming data processing systems such as Kafka, Flink, and Beam
- Understanding of ML platforms and vectorized computation like TensorFlow and XGBoost
Responsibilities
- Develop and implement new analytical tools based on business requirements
- Build and maintain stable, scalable distributed and streaming data systems
- Manage the scaling and deployment of analytics tools from proof of concept to production across on-premises and cloud environments
Education
- Relevant degree in Computer Science, Engineering, or related field preferred
Benefits
- Discretionary bonus eligibility
- Paid leave
- Insurance coverage
- Comprehensive employee benefits
Average salary estimate
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