In-associate_databricks_data & Analytics_advisory_pan India

Dc404

Not specified
Azure databricks
Apache spark framework
Cloud-based data warehousing
This job posting is for an Associate position in Data & Analytics Advisory at PwC, focusing on data engineering and analytics solutions using Azure technologies. The role involves designing data pipelines, integrating data sources, and providing technical leadership, while promoting a culture of innovation and inclusivity

Job Summary

  • At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
  • They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
  • We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.

Matching Summary

Match Score: 85

This job posting is for an Associate position in Data & Analytics Advisory at PwC, focusing on data engineering and analytics solutions using Azure technologies. The role involves designing data pipelines, integrating data sources, and providing technical leadership, while promoting a culture of innovation and inclusivity.

Skills & Requirements

Must-have

  • Azure Databricks
  • Apache Spark framework
  • Cloud-based data warehousing
  • Data pipeline development
  • Azure Data Factory expertise
  • Azure Synapse and SQL
  • Agile delivery methodology

Nice-to-have

  • Python programming knowledge
  • DevOps and CI/CD processes
  • Team collaboration skills
  • Data warehouse modeling principles
  • Data security model development
  • Mentorship and flexibility programs
  • Inclusive work environment

Key Requirements

  • 3 - 7 years experience
  • BE, B.Tech, MCA, M.Tech degree
  • Databricks & Azure Big Data Architecture Certification preferred
  • Expert level understanding of Azure Data Factory and related Azure services
  • Experience with data engineering platforms and cloud infrastructure
  • Knowledge of DevOps including CI/CD
  • No visa sponsorship available

Work Rights

Not specified

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