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Open nowPosted 427 days ago

Lead Software Engineer - Data

Scrabble

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Your applicationOpen nowLead Software Engineer - DataScrabble

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 427 days ago

The posting

Data Engineer

## Company Overview Company details are not provided, please include if available.

## Job Summary As a member of the Data team, the Data Engineer will tackle cutting-edge data engineering and distributed computing challenges. This role involves improving throughput, reducing latency, and maintaining uptime of data pipelines and web services. The engineer will focus on writing test-driven code to process terabytes of data in multi-region distributed systems.

## Responsibilities - Scale the current data pipeline to handle 5X the present capacity within one year. - Transition from batch-oriented processing to a near-real-time processing engine. - Build performance monitoring systems for databases, web services, and processing engines. - Think big and execute with a milestone-based approach rather than a big-bang strategy. - Design and code with considerations for scale, high availability, and cost efficiency. - Mentor and review the code of fellow team members. - Lead a micro team within the Data team and implement effective tech processes and tools. - Own problem statements and devise solutions to address them. - Be open to working with a polyglot tech stack.

## Qualifications - 5-7 years of proven experience in developing scalable REST/gRPC services or streaming pipelines and data-intensive applications. - Expertise in Java programming language and frameworks. - Hands-on experience with data modeling, database design, and performance optimization. - Familiarity with web frameworks such as Vert.X, Spring Boot, and Quarkus is a plus. - Experience with data processing technologies such as Kafka, Flink, and Spark is a plus. - Knowledge of containerization tools such as Docker and Kubernetes is a plus.

## Preferred Skills - Understanding of cloud services and architectures. - Experience in automated testing frameworks and CI/CD practices. - Knowledge of big data technologies and frameworks.

## Experience - 5-7 years relevant experience in data engineering or related fields.

## Environment Typical work setting and location details are not provided, please include if available.

## Salary Salary details are not provided, please include if available.

## Growth Opportunities Opportunities for career advancement are not specified, please include if available.

## Benefits Benefits details are not provided, please include if available.

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