23 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Develop and maintain data pipelines that move, transform, and validate information across cloud and lakehouse environments.
- Build scalable Microsoft Fabric solutions for ingestion, orchestration, storage, analytics, and end-to-end data delivery.
- Design and optimize Lakehouse architectures, data models, SQL transformations, and PySpark transformations.
- Develop advanced Power BI semantic models and reports, including DAX, modeling, and performance tuning.
- Integrate data from multiple sources, including APIs, databases, and streaming systems.
- Monitor pipeline health, troubleshoot failures, and resolve issues across data integration and warehouse workflows.
- Ensure data quality, governance, consistency, and security compliance.
- Collaborate with client teams and business stakeholders to gather requirements and translate business needs into engineering deliverables.
- Review code, schemas, and data structures and contribute to architecture discussions, testing, and deployment.
- Mentor junior team members, review deliverables, and manage assigned workstreams.
Requirements
- A bachelor's degree is required.
- At least 4 years of experience is required.
- Oral and written proficiency in English is required.
- Experience designing and developing scalable data solutions in Microsoft Fabric and working independently on engineering modules.
- Advanced SQL skills and experience with PySpark or Spark transformations.
- Knowledge of Power BI, DAX, data modeling, star and snowflake schemas, Azure services, and data pipeline development.
- Understanding of CI/CD and DevOps practices.
- Preferred fields of study include Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, and Mathematical Statistics.
- Data engineering coursework or internships using Fabric, Azure, or Databricks are preferred.
- Experience with SQL, Python, data architecture, integration, data quality patterns, and client deliverables is preferred.
- Ability to work with shifting priorities, mentor junior team members, and review deliverables for accuracy and clarity.
Tech Stack
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.