Qloron Technology
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Bengaluru · On-site · 1-3 Yrs · Oct 7
Software Development · 51 to 200 Employees · Nāgpur, India
Qloron is a custom software development firm located in Nagpur, India. We offer custom software programming services, from offshore software development enhancement. Our software engineers coming from different backgrounds in IT fields. We are able to balance product development efforts and project duration to your business needs. Software development is the key to success in this highly competitive world of business. Our Company has highly qualified and experienced team of software professionals with varied domain knowledge and expertise to provide cutting edge solutions within a time line.
Hiring: Engineering
What employees say
+ Good place for learning in starting phase of career
− Not applicable for this time
More reviews on the company profile.
Interview experience · MERN Stack Developer
The interview began with a short introduction and discussion about my past projects, followed by technical questions on JavaScript, React, and Node.js. They also asked me to explain MongoDB queries and API integration. F
Average difficulty · India · 6 reports
More interview insightsJob description
Overview
Job Title – Data Engineer - Big Data / Platform Engineer
Qualifications
- Familiarity with applying AI technologies and automation tools within platform operations and data environments.
- Automating recurring operational tasks, monitoring routines, and administrative runbooks using AI-enabled tooling.
- Strong operational scripting and automation expertise using Python, Bash, or similar languages.
- Evaluating and benchmarking open-source technologies to improve efficiency, performance, and operational cost. Systems, Reliability & Observability
- Solid working knowledge of Linux systems administration and OS-level performance tuning.
- Hands-on experience configuring monitoring, log aggregation, and alerting platforms for data infrastructure.
- Monitoring platform health metrics, job execution performance, and hardware/cluster resource utilization.
- Resolving, debugging, and escalating distributed system errors, job failures, and resource contention issues. Delivery & Engineering Standards
- Working within Agile delivery frameworks to iteratively deliver platform capabilities.
- Researching and benchmarking emerging tooling against existing platform capabilities.
- Prior experience working within banking, financial services, or regulated enterprise environments is preferred.
- Self-motivated approach to identifying gaps and driving platform enhancements with minimal supervision. Capabilities
- Support, scale, and extend enterprise Hadoop and Spark Big Data platforms.
- Introduce AI-driven operational tooling to automate repetitive platform tasks and runbooks. Build custom automation tools and operational workflows utilizing Python and Bash scripting. Evaluate, integrate, and maintain open-source platform technologies to lower operational overhead.
- Administer Linux-based cluster infrastructure, monitor distributed jobs, and troubleshoot cluster bottlenecks.
- Translate evolving business and data engineering needs into reliable platform architecture capabilities. Responsibilities
- Maintain and extend the Hadoop-based Big Data platform, Spark clusters, and underlying ETL infrastructure.
- Implement and operationalize AI-enabled tooling to automate day-to-day platform maintenance.
- Monitor system health, cluster resource allocation, and Spark/ETL job performance to maintain high availability.
- Test and debug platform components continuously, driving prompt resolution of infrastructure incidents.
- Support capacity planning, cluster sizing, and resource management as enterprise data volumes scale.
- Evaluate, benchmark, and deploy open-source technologies to continuously modernize the platform.
- Maintain operational runbooks, infrastructure documentation, and configuration standards. Collaborate with data engineers, solution architects, and business stakeholders to design and deploy platform capabilities.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Data Engineer - Big Data / Platform Engineer at Qloron Technology?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Qloron Technology may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - Big Data / Platform Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer - Big Data / Platform Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - Big Data / Platform Engineer role at Qloron Technology?
- This is a mid-level Data Engineer - Big Data / Platform Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.