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Data Engineer @ Tredence

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 Data Engineer

Job Description


Key Responsibilities

  • Design, develop, and maintain data pipelines using Azure Data Factory (ADF)
  • Build scalable data processing solutions using Azure Databricks and PySpark
  • Develop and optimize SQL queries, stored procedures, and data models
  • Ingest data from multiple sources (APIs, databases, files) into Azure data platforms
  • Perform data transformation, cleansing, and aggregation
  • Manage and optimize data workflows and performance
  • Implement best practices for data governance, quality, and security
  • Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders
  • Troubleshoot and resolve data-related issues in pipelines and workflows
  • Document data architecture, pipelines, and processes

Required Skills & Qualifications

Technical Skills

  • Strong experience with:
    • Azure Databricks
    • Azure Data Factory (ADF)
    • SQL (advanced level)
    • PySpark

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Tredence
Location(s): Pune

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Keyskills:   Azure Databricks Pyspark Azure Databricks SQL

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Tredence

Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The last mileis the gap between insight creation and value realization.Headquartered in San Jose, the company embraces a vertical-first approach and an ou

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