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Data Engineer
5 months ago
At Clairvoyant, we're building a thriving Data Engineering practice to help enterprises enable and accelerate the adoption of Cloud Services. In the big data space, we lead and serve as innovators, trouble-shooters, and enablers. Big data practice at Clairvoyant, focuses on solving our customer's business problems by delivering products designed with best in class engineering practices and a commitment to keeping the total cost of ownership to a minimum.
Must-Have :
- 2/3+ years of experience in software development and delivery.
- Experience on large scale Data applications
- Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.
- Strong experience in Java and API development and best practices.
- Experience in Java, Spring, Kafka, Restful-API, Microservices, Good to have AWS / AZURE, SQL,
- Knowledge on ETL platforms.
- Excellent communication and coordination skills
- Must be able to integrate quickly into the team and work independently towards team goals.
- Test the functionality and push the code the next environment.
- Shell compliant CI/CD processes.
- Good aptitude, strong problem-solving abilities, and analytical skills, ability to take ownership as appropriate.
Good to Have :
- Experience / Knowledge on Hadoop, Spark, ETL, Python
- Write ETL (Extract, Transform, Load) scripts to load facts and dimensions data using SQL (Structured Query Language) queries, document catalog data.
- Strong understanding of Data warehousing and data modeling and building ETL pipelines
- Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.
Role & Responsibilities:
- Application development using Java, API
- Contribute to all stages of the software development lifecycle.
- Design, implement, and maintain Java-API based applications that can be high-volume and low-latency.
- Analyse user requirements to define business objectives.
- Ensure application designs confirm to business goals.
- Develop and test software & identify and resolve any technical issues arising.
- Create detailed design documentation and propose changes to the current Java infrastructure.
- Conducting software analysis, programming, testing, and debugging
- Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review.
- Working with customers on a daily basis to ensure smooth engagement.
- Responsible for timely and quality deliveries.
- Fulfil organization responsibilities - Sharing knowledge and experience with the other groups in the organization, conducting various technical training sessions.
Key Skills (Mandatory) :
- Java, Spring, Kafka, Restful-API, Microservices, AWS / AZURE, SQL.
Good to Have :
- Hadoop, Spark, ETL, Python.
(ref:hirist.tech)