Data Engineer - Senior Associate
PwC (company site, opens in a new tab)2+ yrsBengaluruOn-siteDirect career pageEst. 6–12 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable data infrastructure and systems, including data pipelines, integration, and transformation solutions using tools like Apache Airflow and Azure Data Factory.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights leveraging platforms such as Snowflake and Databricks.
- Mentor junior team members and manage assigned workstreams within client service engagements, maintaining data quality, security, and compliance.
Minimum Requirements
- Bachelor's degree in any field.
- Minimum 2 years of work experience in data engineering or related roles.
- Proficiency in English (oral and written).
- Experience with data pipeline tools and cloud platforms like Apache Airflow, Azure Data Factory, Snowflake, or Databricks preferred.
Ideal Candidate Profile
- Background in fields like Management Information Systems, Computer Science, Systems Engineering, or related quantitative domains.
- Experience with AWS and Microsoft Azure Databricks implementations for data engineering.
- Strong analytical thinking and problem-solving skills in complex data environments with ability to manage ambiguity and build client relationships.