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Bengaluru · On-site · 5-8 Yrs · Oct 23
26 open roles7 posted in 7d26 in 30d
Hiring: Engineering
Job description
Overview
Line of Service Advisory
Responsibilities
- Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
- Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
- Ensure data quality, integrity, and security across all data engineering projects.
- Implement best practices for data engineering, including code reviews, testing, and documentation.
- Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
- Work closely with stakeholders to understand business needs and translate them into technical requirements.
- Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.
Qualifications
- Proven track record of designing and building scalable data pipelines and architectures.
- Hands-on experience with data processing and transformation.
- Strong understanding of data warehousing concepts and ETL processes.
- Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
- Strong leadership and team management skills.
- Effective communication skills, both written and verbal.
- Experience with cloud-native data engineering on platforms such as Databricks and Azure/AWS.
- Familiarity with cloud services related to data storage, processing, and analytics (e.g., BigQuery, Redshift, S3, EMR).
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience with data visualization tools and techniques.
- Familiarity with machine learning and data science concepts.
- Strong experience with data engineering technologies, particularly Spark, PySpark, and Python.
- Proven experience in data engineering or related roles.
- Industry certifications related to data engineering or cloud platforms are a plus.
- .Net Full Stack Development
- Optional Skills
- Desired Languages (If blank, desired languages not specified)
- Travel Requirements
- Not Specified
- Available for Work Visa Sponsorship?
- Government Clearance Required?
- Job Posting End Date
- June 23, 2026
Education
- B.Tech / M.Tech / MCA/MBA
- Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)
- Degrees/Field of Study preferred:
- Certifications (if blank, certifications not specified)
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Job application FAQ
Last updated 29 October 2026
- How do I apply for IN_Senior Associate_Data Engineering__GCC_Advisory_Bangalore at PwC India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PwC India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this IN_Senior Associate_Data Engineering__GCC_Advisory_Bangalore role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is IN_Senior Associate_Data Engineering__GCC_Advisory_Bangalore remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this IN_Senior Associate_Data Engineering__GCC_Advisory_Bangalore role at PwC India?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.