Data Intelligence Specialist

6 days ago

Noida, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 28,00,000
Unlock Business Intelligence from Data">

A career within data and analytics services provides the opportunity to help organisations uncover enterprise insights, drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence, data management, and data assurance.

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Business intelligence from data requires an understanding of the business, data, and technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics.

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  • Design, develop, and optimise 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 optimise data processing workflows for scalability, reliability, and cost-effectiveness.">
  • Implement data security and compliance measures to protect sensitive information and ensure regulatory compliance.">
  • Proven experience as a Data Engineer, with expertise in building and optimising 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 modelling, 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 Set: Pyspark, Azure

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Preferred Skill Set: Pyspark, Azure

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Year of experience required: 8 - 12 years

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Qualifications: B.E / B.tech / MBA

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