Data Developer
2 weeks ago
The Ideal Candidate
We are looking for a pragmatic, production-focused individual to join our Data team.
What you will be doing
Design, develop, and support data pipelines for a hybrid data-platform (mix of batch and real-time data processing).
Monitor, troubleshoot, and resolve issues in production data pipelines, ensuring high availability and reliability.
Hands-on approach with Data Governance, including SLA metric capture, anomaly detection and reporting to key stakeholders, and a commitment to ensuring optimum data quality.
Ownership of several key data platform infrastructure components.
Actively research, evaluate, and prototype new technologies, especially in support of the department's new AI/ML initiatives.
Actively participate in the design, scoping, and architectural discussions for new data solutions and features.
Translate business requirements and product goals into scalable and efficient technical data solutions.
Qualifications and Experience Required
Hold a Bachelor's Degree in Computer Science or equivalent.
3+ years experience in any of the following OOP programming languages (Python, Java, Go).
Experience with Clickhouse and similar columnar technologies. Possess a strong understanding of data warehousing concepts, dimensional modeling, and data lake architectures. A deep understanding of Clickhouse inner workings is desirable.
Experience in RDBMS databases (Aurora, MariaDB, MySQL), SQL scripting skills and SQL optimization capabilities.
Experience with streaming practices and technologies (Kafka, Kafka Connect, Kafka Streams)
Experience with Apache Airflow for data orchestration and pipelining.
Exposure to Prometheus and experience working with Grafana based dashboards.
Exposure within microservice orchestration systems (Docker, Kubernetes).
Experience with developing cloud native applications on AWS (EC2, Lambda, S3, Serverless, MWAA, MSK).
Skills Required
Have a data-ops driven mindset, and exposure to hands-on on-prem deployments.
Functional programming-oriented mindset in real time streaming architectures. Familiarity with distributed processing engines (e.g., Spark, Flink, Dask, or Presto/Trino).
Unix scripting knowledge and capabilities.
Fluency in English, both written and spoken.
Start Date: As soon as we find a match
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