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Urgent! IN_Associate_Azure Data Engineer_Data & Analytics_Advisory_Noida Job Opening In Noida – Now Hiring PwC

IN_Associate_Azure Data Engineer_Data & Analytics_Advisory_Noida



Job description

Description

& Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

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:

    2 - 3

    Education qualification:

    B.Tech / M.Tech / MBA / MCA

    Education

    Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:

    Certifications

    Required Skills

    Microsoft Azure, PySpark

    Optional Skills

    Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation, Data Warehouse, Data Warehouse Indexing {+ 13 more}

    Desired Languages

    Travel Requirements

    Not Specified

    Available for Work Visa Sponsorship?

    No

    Government Clearance Required?

    No

    Job Posting End Date


    Required Skill Profession

    Computer Occupations



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