In_manager_azure Data Engineer_d&a_advisory_bangalore

Data And Analytics Manager

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. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis.

Responsibilities:

• Candidates with minimum 4 years of relevant experience for 9-15 years of total experience (Architect/Managerial level). • Deep expertise with technologies such as Data Factory, Data Bricks, SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services. • Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect/Managerial level). • Strong troubleshooting and debugging skills. • Proven experience in working source control technologies (such as GitHub, Azure DevOps), build and release pipelines. • Experience in writing complex PySpark queries to perform data analysis.

Mandatory skill sets: Azure Databricks, Pyspark, Datafactory

Preferred skill sets: Azure Databricks, Pyspark, Datafactory, Python, Azure Devops

Years of experience required: 9-15yrs

Education qualification: B.Tech / M.Tech / M.E / MCA/B.E

Required Skills: Azure Data Box, Databricks Platform

Optional Skills: Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}