1152 PwC Jobs in Bangalore / Bengaluru

• Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract, transform, and load large volumes of structured and unstructured data from diverse sources.
• Implement data ingestion, processing, and storage solutions on GCP cloud platform, leveraging services.
• Develop and maintain data models, schemas, and metadata to support efficient data access, query performance, and analytics requirements.
• Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for scalability, reliability, and costeffectiveness.
• Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance.

Requirement

• Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines using PySpark, Scala, and Apache Spark.
• Handson experience with cloud platforms, particularly GCP, and proficiency in GCP services.
• Strong programming skills in Python and Scala, with experience in software development, version control, and CI/CD practices.
• Familiarity with data warehousing concepts, dimensional modeling, and relational databases (eg, SQL Server, PostgreSQL, MySQL).
• Experience with big data technologies and frameworks (eg, Hadoop, Hive, HBase) is a plus.

Degrees/Field of Study required Bachelor of Technology, Bachelor of Engineering, Master of Business Administration PySpark, Spark SQL Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Big Data, C++ Programming Language, Communication, Complex Data Analysis, DataDriven Decision Making (DIDM), Data Engineering, Data Lake, Data Mining, Data Modeling, Data Pipeline, Data Quality, Data Science, Data Science Algorithms, Data Science Troubleshooting, Data Science Workflows, Deep Learning, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Machine Learning