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.
The first round was a coding round on a platform. Later, I had a technical round mainly focusing on SQL questions and Spark (pyspark) questions, followed by a managerial round.
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.
There were 2 rounds. The first was a coding round, and the second was about data warehouses, data modeling, SQLs, PySpark, Python, and object-oriented programming concepts. Then there was an HR round, which was basically asking about previous work
The first round was a coding round on a platform. Later, I had a technical round mainly focusing on SQL questions and Spark (pyspark) questions, followed by a managerial round.
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.
There were 2 rounds. The first was a coding round, and the second was about data warehouses, data modeling, SQLs, PySpark, Python, and object-oriented programming concepts. Then there was an HR round, which was basically asking about previous work