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IN_Senior Associate_Data Engineering__GCC_Advisory_Bangalore

PwC
Bengaluru, IND
Full-time
Senior · 5–8 years experience
Discovered 3 days ago
awsazurebigquerydatabricksdockerkubernetes

Full Job Posting

Responsibilities:

  • We are seeking an experienced and Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements. The ideal candidate will have a strong hands-on background in data engineering with specific expertise in Spark, PySpark, and Python. Additionally, experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering or Amazon Web Services (AWS) is highly desirable.
  • 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.
  • Required Skills:
  • 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.
  • Preferred Qualifications:
  • 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.
  • Mandatory skill sets:
  • Strong experience with data engineering technologies, particularly Spark, PySpark, and Python.
  • preferred skill sets:
  • Proven experience in data engineering or related roles.
  • Industry certifications related to data engineering or cloud platforms are a plus.
  • Years of experience required:
  • Experience: 5 - 8 Years

Education qualification:

  • B.Tech / M.Tech / MCA/MBA
  • Education (if blank, degree and/or field of study not specified)
  • Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)
  • Degrees/Field of Study preferred:
  • Certifications (if blank, certifications not specified)
  • 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.
  • 5 - 8 Years
  • Required Skills
  • .Net Full Stack Development
  • Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}
  • Travel Requirements
  • Not Specified
  • Available for Work Visa Sponsorship?
  • No
  • Government Clearance Required?
  • Job Posting End Date
  • June 23, 2026

Required Skills

  • .Net Full Stack Development
  • Optional Skills
  • Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}
  • Desired Languages (If blank, desired languages not specified)
  • Travel Requirements
  • Not Specified
  • Available for Work Visa Sponsorship?
  • No
  • Government Clearance Required?
  • Job Posting End Date
  • June 23, 2026

Preferred Qualifications

  • 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.
  • Years of experience required
  • Optional Skills
  • Desired Languages (If blank, desired languages not specified)

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