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Senior Backend Software Engineer

AcceldataBengaluru
On-site Full-time

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Experience Level

Senior

Qualifications

Qualifications:4-8 years of experience in JVM (Java, Scala, Kotlin). Strong skills in data structures, algorithm design, and problem-solving. Experience with RDBMS, MongoDB, and Elastic Search. Familiarity with cloud technologies. Knowledge of distributed systems and SQL.

About the job

Join Acceldata and transform how organizations observe their data!

As a trailblazer in data observability, Acceldata is reshaping the way enterprises monitor and manage their data. Our innovative platform provides deep insights into critical data elements, pipelines, and infrastructure, empowering data teams to enhance product efficacy, ensure data quality, mitigate failures, and optimize costs.

Role Overview: Senior Software Engineer

In this role, you will play a crucial part in developing, scaling, and sustaining the core functionalities of our Data Observability suite. Collaborating closely with frontend and product teams, you will help create a robust and scalable platform.

Daily Responsibilities:

- Design, build, and enhance key product features.
- Investigate software-related issues and implement adjustments for optimal performance.
- Dive deep into open-source data engines, optimizing their performance.
- Create and maintain low-latency APIs.
- Develop services for frontend and solution engineers.
- Participate in team meetings to discuss projects and brainstorm solutions.

Ideal Candidate:
 
- 4-8 years of experience with JVM languages (Java, Scala, Kotlin).
- Solid understanding of data structures, algorithm design, and problem-solving skills.
- Familiarity with database systems including RDBMS, MongoDB, and Elastic Search.
- Experience with cloud technologies.
- Knowledge of distributed systems and SQL.

Desirable Qualifications:

- Experience with Spark and Kafka.
- Background in Data Quality or Data Catalog is a plus.

About Acceldata

Acceldata is at the forefront of data observability, enhancing how organizations manage their data landscape. By providing unparalleled insights into data quality, pipelines, and infrastructure, we empower teams to drive efficiency, reduce costs, and prevent failures.

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