Strong mentorship and many opportunities to learn new data tools and ML workflows.
Collaborative team atmosphere with regular knowledge-sharing sessions.
Competitive salary and comprehensive benefits package.
Flexible work-from-home policy and supportive manager.
Rapid product changes sometimes cause shifting priorities and workload spikes.
Onboarding documentation could be more complete for new hires.
Overadvertised and under-responsive. Quite disappointing not to be treated properly, even after a multitude of LinkedIn posts mentioning that they are allegedly hiring. A long way to go to treat candidates properly, even during the offer period.
The interview started with questions based on my resume, followed by detailed discussion on my projects, technical concepts, challenges I faced during development, some theoretical questions, and a few basic aptitude and problem-solving questions.
Initial Screening: A preliminary call with the recruiter to discuss my background and interest in the role. Technical Discussion: A second-stage interview with a Senior Data Engineer to assess technical knowledge and experience. Competency Assessme
Overadvertised and under-responsive. Quite disappointing not to be treated properly, even after a multitude of LinkedIn posts mentioning that they are allegedly hiring. A long way to go to treat candidates properly, even during the offer period.
The interview started with questions based on my resume, followed by detailed discussion on my projects, technical concepts, challenges I faced during development, some theoretical questions, and a few basic aptitude and problem-solving questions.
Initial Screening: A preliminary call with the recruiter to discuss my background and interest in the role. Technical Discussion: A second-stage interview with a Senior Data Engineer to assess technical knowledge and experience. Competency Assessme