Pwc
Advisory
INManagerDataEngineerD&AAdvisoryBangalore
“IN_Manager_Data Engineer_D&A_Advisory_Bangalore at Pwc. Skills: Databricks, Python, PySpark, Data Engineering, ETL/ELT pipelines, Data processing, Data models, Transformations, CI/CD pipelines. Design, build, and optimize data pipelines and workflow orchestration. Develop and maintain ETL/ELT pipelines using Databricks”
What You'll Achieve.
Leveraging data to drive insights; Make informed business decisions; Optimise operations; Achieve strategic goals; Provide strategic insights; Drive informed decision-making; Optimize business performance; Enhance competitive advantage
Industry & Context.
Analytical Thinking; Data Analysis and Interpretation; Problem-solving
What They're Looking For.
Must Have
Databricks, Python, PySpark, CI/CD, Git, Docker, Kubernetes, 3+ years in Data Engineering with Databricks, skills in Python, PySpark orchestration, Experience with CI/CD, Git, Docker, and Kubernetes
Nice to Have
Knowledge of Delta Lake and Databricks ecosystem tools, Azure cloud data engineering tools
What You'll Do.
and optimize data pipelines and workflow orchestration
Develop and maintain ETL/ELT pipelines using Databricks
Write efficient PySpark & Python scripts for large-scale data processing
Implement data models
and CI/CD pipelines for automation
How You'll Work.
Communication Scope
Communication
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