Fabric Data Engineer - Senior Associate
Pwc (Crm Experienced Careers Site) Open At a glance
Senior Data Engineering role at Pwc (Crm Experienced Careers Site). Hyderabad · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Fabric pipelines for ingestion, orchestration, storage and analytics, and keep data moving accurately across cloud and lakehouse systems
- Shape lakehouse designs and tune data models, transformations and queries to improve pipeline reliability and query speed
- Turn client requirements into engineering work, then monitor pipelines and fix failures in integration and warehouse workflows
- Review code and data structures for consistent, secure outputs while guiding junior engineers and running assigned workstreams
What you bring
- You have a bachelor's degree and at least four years of professional experience
- You can speak and write in English, and can independently build scalable solutions in Microsoft Fabric
- You bring advanced SQL and Power BI modeling skills, plus working knowledge of PySpark, data modeling and Azure services
Who this fits
This senior associate role suits an experienced data engineer who can own Fabric modules, contribute to architecture decisions and mentor junior colleagues. You’ll work on client-facing engineering across multiple workstreams. The role is based in Hyderabad, India.
From the employer
Industry/Sector
Not ApplicableSpecialism
Platform Engineering & ArchitectureManagement Level
Senior AssociateJob Description & Summary
The Opportunity
Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As a Fabric Data Engineer - Senior Associate you will support client-facing data engineering work within our Cloud Engineering, Data & Analytics practice, helping design and deliver fabric-based data solutions that turn business needs into scalable pipelines, models, and reusable data assets. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and mentor junior team members while navigating ambiguity and using your technical skills to deliver work that aligns with the broader goals of data modernization. In this role at PwC, you will help shape data architecture, develop engineering deliverables, interpret feedback, and contribute to solution design, testing, and deployment across multiple workstreams in the PwC Acceleration Center Bangalore environment.
Responsibilities
- Developing and maintaining data pipelines that move, transform, and validate information across cloud and lakehouse environments
- Building scalable Fabric-based solutions for ingestion, orchestration, storage, and analytics use cases
- Applying data modeling, transformation, and performance tuning techniques to improve query speed and pipeline reliability
- Collaborating with client teams to gather technical requirements, interpret business needs, and translate them into engineering deliverables
- Monitoring pipeline health, troubleshooting failures, and resolving issues across data integration and warehouse workflows
- Using Azure Data Factory, Databricks, Apache Airflow, and Snowflake tools to support modern data platform delivery
- Reviewing code, schemas, and data structures to maintain consistency, security, and usable data outputs
- Mentoring junior team members on engineering methods, documentation, and delivery practices while managing assigned workstreams
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required
- Designs and develops scalable data solutions in Microsoft Fabric. Works independently on modules and contributes to architecture discussions.
- Design and implement end-to-end data pipelines in Fabric
- Build and optimize Lakehouse architectures
- Develop advanced Power BI semantic models and reports
- Write and optimize complex SQL and PySpark transformations
- Integrate data from multiple sources (APIs, databases, streaming)
- Ensure data quality, governance, and security compliance
- Collaborate with business stakeholders for requirements
- Mentor junior team members
- Microsoft Fabric (Data Factory, Lakehouse, Warehouse)
- Power BI (DAX, modeling, performance tuning)
- SQL (advanced)
- Good knowledge of:
- PySpark / Spark
- Data modeling (star/snowflake schema)
- Azure services (ADLS, Synapse, etc.)
- Understanding of CI/CD and DevOps practices
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Completing data engineering coursework or internships using Fabric, Azure, or Databricks
- Demonstrating SQL, Python, and data pipeline development for analytics solutions
- Analyzing data architecture, modeling, integration, and quality patterns for client deliverables
- Applying Agile ways of working while managing shifting workstream priorities
- Mentoring junior team members and reviewing deliverables for accuracy and clarity
Travel Requirements
Not SpecifiedJob Posting End Date
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