Data Infrastructure Specialist
3 days ago
As a Senior Data Engineer at TechnoGen, you will be part of our Data Infrastructure team, responsible for designing and maintaining tools and infrastructure to write, test, and schedule batch data pipelines. Your work will enable other developers, data scientists, and analysts to write high-performing pipelines that power data science, machine learning, and product development.
We primarily use Scala, Java, and Python programming languages and technologies like Hadoop, Spark, Airflow, Terraform, and Kubernetes, as well as GCP services like Dataproc, Dataflow, and BigQuery. Our goal is to build highly-performant systems that are maintainable and easy to understand by selecting and integrating with the best of current technologies.
You will have experience building data processing platforms, supporting them at scale, and collaborating with other teams that depend on them. Experience building applications and managing infrastructure using one of the major cloud providers is preferred but not required. We value curiosity, passion, responsibility, and generosity of spirit.
Required Skills:
- Strong domain expertise and backend skills (working in Scala, Java and Python)
- Strong leadership and communication skills
- Experience collaborating with other engineers and product teams
- Advantages and limitations of distributed systems
- DevOps
- Writing ETL pipelines
- Building and monitoring cloud services (GCP services preferred) and infrastructure
- Using or maintaining data processing environments like Hadoop, Spark, PySpark, and Dataflow
Estimated Salary: $120,000 - $180,000 per year.
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