hackajob Bewertungen 1.349

Thanks for sharing genuine job for me

It advertise roles that for companies that aren't even listed on the site (unusalble site). Tech product manager from Civica. On the company site it is not advertised, in hackajob Civica does not exists. Do not waste people time please!

great experience with site

In my month of use I had 2 companies reach out. While I found a role, I found the use of hackajob confusing and lacked a clear profression track notification system. I feel this portal needs more development.

The follow up-email reminders is a great initiative

I have over four years of experience as a Data Engineer, working across enterprise environments such as Uber, KPMG, and Trigent. My expertise lies in designing, building, and scaling both real-time and batch data pipelines, with a strong focus on Python, PySpark, SQL, Kafka, and Apache Airflow.
At Uber, I architected and optimized scalable ETL pipelines, which reduced batch processing times by nearly 30% and improved pipeline reliability by over 40%. I led migrations of critical workloads to AWS Glue and Redshift, achieving cost reductions and better scalability. I also built robust data models for Power BI and Tableau, enabling faster report generation and actionable insights for cross-functional teams. Additionally, I implemented end-to-end data governance and compliance protocols, ensuring pipelines were fully audit-ready and GDPR/SOX compliant.
During my internship at KPMG, I focused on automating ETL workflows and integrating data from multiple sources, including Azure Data Factory, S3, and PostgreSQL. I also developed ML pipelines using MLflow and Python, cutting deployment time in half while maintaining production monitoring. My work there improved reporting efficiency and supported executive decision-making through accurate, timely dashboards.
At Trigent, I designed and deployed large-scale ETL pipelines and migrated legacy systems to AWS Cloud and Redshift, increasing system uptime and reducing infrastructure costs. I implemented star and snowflake schemas for enterprise data warehousing and built real-time streaming pipelines with Kafka, enabling efficient event processing under peak loads. I also focused on improving data quality, observability, and CI/CD automation, ensuring high reliability and accuracy for enterprise datasets.
Across all roles, I have collaborated closely with data science, DevOps, and analytics teams to deliver production-grade, low-latency data systems that power business intelligence, ML models, and operational decision-making. I take pride in not just handling technical challenges, but also translating them into measurable business impact.

yes receiving opportunities is very good

I'm getting traction regarding interview on the platform. However, I noticed all the applications I had to complete on the companies websites advertising the job have not been coming back successful.
Nonetheless, Hackerjob is a great platform for professionals to be for getting job opportunities.

Great experience

Interesting concept! Still to be improved but it works!

Hackajob has attracted a wider range of companies, which has led to me receiving more direct interview calls. Recently, I secured a new job offer through an interview arranged by Hackajob. Their follow-ups and reminders have been extremely helpful.

Overall it was a good experience. Wish it was more interactive. By that I mean if I as a user can be notified a company has interest in me, I submit my resume as requested, there should be a notification that the resume was at least looked at and not sitting in a queue somewhere. Or it's no different that a regular job site.

Great concept. I love the fact that employers come to you and ask you to apply. Fantastic!

I got a job through hackajob. I can’t believe I was able to get this role. It’s really amazing…. My profile on there got the company to contact me. I’d never have found this role on other job platforms or on my own. I had been unemployed for 5 months with no success so I really appreciate hackajob!