Azure Databricks - Manager PwC Acceleration Center India

8.0 - 12.0 years

0 Lacs

karnataka

On-site

As a part of the data and analytics engineering team at PwC, your focus will be on utilizing advanced technologies and techniques to create robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and contributing to business growth. Specifically in data engineering at PwC, you will be responsible for designing and constructing data infrastructure and systems that facilitate efficient data processing and analysis. This will include the development and implementation of data pipelines, data integration, and data transformation solutions. At PwC - AC, we are seeking an Azure Manager specializing in Data & AI, with a strong background in managing end-to-end implementations of Azure Databricks within large-scale Data & AI programs. In this role, you will be involved in architecting, designing, and deploying scalable and secure solutions that meet business requirements, encompassing ETL, data integration, and migration. Collaboration with cross-functional, geographically dispersed teams and clients will be key to understanding strategic needs and translating them into effective technology solutions. Your responsibilities will span technical project scoping, delivery planning, team leadership, and ensuring the timely execution of high-quality solutions. Utilizing big data technologies, you will create scalable, fault-tolerant components, engage stakeholders, overcome obstacles, and stay abreast of emerging technologies to enhance client ROI. Candidates applying for this role should possess 8-12 years of hands-on experience and meet the following position requirements: - Proficiency in designing, architecting, and implementing scalable Azure Data Analytics solutions utilizing Azure Databricks. - Expertise in Azure Databricks, including Spark architecture and optimization. - Strong grasp of Azure cloud computing and big data technologies. - Experience in traditional and modern data architecture and processing concepts, encompassing relational databases, data warehousing, big data, NoSQL, and business analytics. - Proficiency in Azure ADLS, Data Databricks, Data Flows, HDInsight, and Azure Analysis services. - Ability to build stream-processing systems using solutions like Storm or Spark-Streaming. - Practical knowledge of designing and building Near-Real Time and Batch Data Pipelines, expertise in SQL and Data modeling within an Agile development process. - Experience in the architecture, design, implementation, and support of complex application architectures. - Hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services. - Familiarity with working in a DevOps environment using tools like Chef, Puppet, or Terraform. - Strong analytical and troubleshooting skills, along with proficiency in quality processes and implementation. - Excellent communication skills and business/domain knowledge in Financial Services, Healthcare, Consumer Market, Industrial Products, Telecommunication, Media and Technology, or Deal advisory. - Familiarity with Application DevOps tools like Git, CI/CD Frameworks, Jenkins, or Gitlab. - Good understanding of Data Modeling and Data Architecture. Certification in Data Engineering on Microsoft Azure (DP 200/201/203) is required. Additional Information: - Travel Requirements: Travel to client locations may be necessary based on project needs. - Line of Service: Advisory - Horizontal: Technology Consulting - Designation: Manager - Location: Bangalore, India In addition to the above, the following skills are considered advantageous: - Cloud expertise in AWS, GCP, Informatica-Cloud, Oracle-Cloud. - Knowledge of Cloud DW technologies like Snowflake and Databricks. - Certifications in Azure Databricks. - Familiarity with Open Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, and Solr/Elastic Search. - Data Engineering skills in Java, Python, Pyspark, and R-Programming. - Data Visualization proficiency in Tableau and Qlik. Education qualifications accepted include BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA.,

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