INManagerAzure Data EngineeringD&AAdvisoryKolkata
INManagerAzure Data EngineeringD&AAdvisoryKolkata
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in business application consulting specialise in consulting services for a variety of business applications helping clients optimise operational efficiency. These individuals analyse client needs implement software solutions and provide training and support for seamless integration and utilisation of business applications enabling clients to achieve their strategic objectives.As a business application consulting generalist at PwC you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis implementation training and support.
*Why PWC
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Design develop and optimize data pipelines and ETL processes using PySpark or Scala to extract transform and load large volumes of structured and unstructured data from diverse sources. Implement data ingestion processing and storage solutions on Azure cloud platform leveraging services such as Azure Databricks Azure Data Lake Storage and Azure Synapse Analytics. Develop and maintain data models schemas and metadata to support efficient data access query performance and analytics requirements. Monitor pipeline performance troubleshoot issues and optimize data processing workflows for scalability reliability and cost-effectiveness. Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance. Requirement Proven experience as a Data Engineer with expertise in building and optimizing data pipelines using PySpark Scala and Apache Spark. Hands-on experience with cloud platforms particularly Azure and proficiency in Azure services such as Azure Databricks Azure Data Lake Storage Azure Synapse Analytics and Azure SQL Database. Strong programming skills in Python and Scala with experience in software development version control and CI/CD practices. Familiarity with data warehousing concepts dimensional modeling and relational databases (e.g. SQL Server PostgreSQL MySQL). Experience with big data technologies and frameworks (e.g. Hadoop Hive HBase) is a plus.
Mandatory skill sets:
Spark Pyspark Azure
Preferred skill sets:
Spark Pyspark Azure
Years of experience required:
7 - 12
Education qualification:
/ / MBA / MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Data Engineering Microsoft AzureOptional Skills
Accepting Feedback 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
