Calsoft
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Kolkata · On-site · 5-8 Yrs · Aug 19
Enterprise Software & Network Solutions · 1001 to 5000 Employees · Pune, India
Established in 1998, Calsoft is a leading software product engineering Services Company specializing in Storage, Networking, Virtualization and Cloud business verticals. Calsoft provides End-to-End Product Development, Quality Assurance Sustenance, Solution Engineering and Professional Services expertise to assist customers in achieving their product development and business goals. Our deep domain knowledge of Storage, Virtualization, Networking and Cloud verticals helps in delivering high quality products and services at the right time and cost. Our customer focused engagement models and innovative Accelerator IPs speed up time-to-market and accelerate revenue growth for our customers.
Hiring: Engineering
What employees say
+ Good opportunity to build systems that improve infrastructure efficiency and reduce repetitive operational work.
− Automation platforms require continuous maintenance as infrastructure and business requirements evolve.
More reviews on the company profile.
Interview experience · PHP Laravel Developer
I applied on linkedIn post and got a call from HR and she discussed about my profile and shortlisted then scheduled my first round of interview , the interview was very easy but i was not prepared it was about laravel
Average difficulty · Pune · 177 reports
More interview insightsJob description
Overview
Role & responsibilities 5+ years of experience in Data Engineering.
Responsibilities
- 5+ years of experience in Data Engineering.
- Solid hands-on experience with ETL/ELT processes.
- Robust SQL skills, including query optimization.
- Good hands-on experience with Python for data engineering.
- Robust experience with GCP, AWS or Azure.
- Understanding of Data Warehousing and Data Modeling concepts.
Qualifications
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Develop data integration solutions using AWS or Azure cloud services.
- Develop and maintain data processing solutions using Python.
- Work with structured and semi-structured data from multiple sources.
- Collaborate with Data Architects, Developers, Analysts, and other stakeholders.
- Ensure data pipelines are scalable, reliable, secure, and optimized for performance.
- Support cloud-based data platform development and migration initiatives.
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