- 8-11 years of experience in Big Data and Data Engineering.
- Strong hands-on experience in Bigdata,Python, PySpark, and Scala.
- Strong hands-on expertise in Scala (mandatory and primary skill).
- Expertise in developing scalable data pipelines and ETL processes.
- Strong knowledge of Apache Spark, Hadoop ecosystem, and distributed computing.
- Experience with data processing, performance tuning, and optimization.
- Exposure to cloud platforms such as Azure, AWS, or GCP is preferred.
- Solid problem-solving skills and experience working in Agile environments.
Mandatory Skills: Big Data, Python, PySpark, Scala. Scala is the key skills