A company with great work-life balance provides flexible hours, fostering a positive environment through supportive culture and collaborative spaces. It also offers ample opportunities for skill development with regular training, clear career growth paths, and mentorship.
The company is dynamic and fast-paced, which can sometimes result in high work pressure and tight deadlines. However, this environment also offers opportunities for growth and the chance to work on challenging, impactful projects.
I applied online. Experience was good, they made me comfortable throughout the interview process, I was judged on the basics specifically PySpark, SQL, and data warehousing concepts. Round 1 — 1-Hour Interview The interview started with a brief di
The interview was easy to moderate level. You must have a good understanding of data engineering-related concepts, including big data technologies like PySpark, languages like Python and SQL, and cloud technologies like AWS would be good to have.
It's part of Accenture now. There were 3 rounds of interviews, not too difficult, and it felt like the interviewer wasn't judging correctly. 1st: Technical 1 to 1. 2nd: Technical 1 to 1, more into project-related questions and GCP-related. HR: Sa
I applied online. Experience was good, they made me comfortable throughout the interview process, I was judged on the basics specifically PySpark, SQL, and data warehousing concepts. Round 1 — 1-Hour Interview The interview started with a brief di
The interview was easy to moderate level. You must have a good understanding of data engineering-related concepts, including big data technologies like PySpark, languages like Python and SQL, and cloud technologies like AWS would be good to have.
It's part of Accenture now. There were 3 rounds of interviews, not too difficult, and it felt like the interviewer wasn't judging correctly. 1st: Technical 1 to 1. 2nd: Technical 1 to 1, more into project-related questions and GCP-related. HR: Sa