IN_Senior Associate_Data Engineering_Digital Integration_Advisory_Kolkata
PwC India (company site, opens in a new tab)6–8 yrsKolkataOn-siteDirect career pageEst. 12–22 LPA
Posted 15h ago
Reach people at PwC India
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at PwC India you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead data engineering and data analysis using Microsoft Azure data stack including Azure Databricks and Fabric.
- Design and implement data migration, ingestion, integration solutions ensuring data quality, profiling, and source-to-target mapping.
- Collaborate with business stakeholders to understand requirements and deliver technology solutions leveraging Microsoft stack and agile DevOps processes.
Minimum Requirements
- 6-8 years total work experience with at least 3 years recent experience in data engineering.
- Bachelor's degree in Engineering (BE/BTech) mandatory.
- Hands-on expertise in Microsoft Azure data engineering components (Azure Databricks, Fabric) and Microsoft technology stack (.Net, C#, SQL).
- Professional certification in any one of DP600, DP700, DP080, DP203 mandatory.
Ideal Candidate Profile
- Experienced in large offshore engagements using Agile and DevOps methodologies.
- Proven ability to handle end-to-end data migration, integration, and quality assurance projects.
- Capable of effective coordination with business users to translate needs into technical implementations using Microsoft technologies.