In data engineering, you will focus on designing and building data infrastructure and systems to enable effective data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Responsibilities
- Working knowledge on big data technologies , Cloud AWS
- Excellent working knowledge on SQL
- Proficient with spark and any one or both programming language e.g. Scala and/or Python
- Demonstrated working knowledge with kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog
- Experience with snowflake will be a big positive
- Experience with CI/CD framework implementation in conjunction with any popular code repository like Github
- Degrees/Field of Study required: Bachelor of Technology
Required Skills
- Microsoft Azure
Optional Skills
- Accepting Feedback
- Active Listening
- Agile Scalability
- Amazon Web Services (AWS)
- Analytical Thinking
- Apache Airflow
- Apache Hadoop
- Azure Data Factory
- Communication
- Creativity
- Data Anonymization
- Data Architecture Development
- Database Administration
- Database Management System (DBMS)
- Database Optimization
- Database Security Best Practices
- Databricks Unified Data Analytics Platform
- Data Engineering
- Data Engineering Platforms
- Data Infrastructure
- Data Integration
- Data Lake
- Data Modeling
- Data Pipeline
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 IN_Senior Associate_ Azure_Data and Analytics_Advisory_Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.