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▷ Immediate Start : Data Engineer

▷ Immediate Start : Data Engineer

Live ConnectionsMumbai, Maharashtra, India
8 hours ago
Job description

Job Description

Data Engineer - Senior Consultant - Data Engineer

Exp - 7yrs to 12years

Package – 30Lpa Fixed

Notice Period – Immediate to 30day

Location – Bangalore, Pune, Mumbai, Chennai, Hyderabad, Gurgaon

Work Mode – Hybrid

Interview mode – 2 Virtual rounds ( L1 & L2 & HR discussion)

Mandatory Skills : Data Engineer with Azure Databricks, Python, SQL, Pyspark , Data Modeling

Responsibilities

  • Design, build, and optimize platform solutions in Azure Databricks to support scalable, high-performance, and secure data engineering workflows.
  • Implement and maintain platform automation for infrastructure, monitoring, and deployment pipelines using modern DevOps practices.
  • Align with best practices for platform architecture, governance, and security within Databricks.
  • Collaborate with data engineers, modelers, and testers to ensure the platform meets technical and business requirements.
  • Proactively monitor, troubleshoot, and resolve issues to maintain platform stability and performance.

Role Requirements

  • Strong platform engineering experience with Azure Databricks and related Azure services.
  • Familiarity with DevOps principles and CI / CD pipeline tools (e.g., Azure DevOps, Jenkins, GitHub Actions).
  • Background in system Azure architecture, networking, Windows and Linux configuration, DevOps or SRE roles
  • Ability to design scalable solutions using Databricks features such as Delta Lake, Unity Catalog, and cluster policies.
  • Write and deploy infrastructure as Code (IaC) / Configuration as Code (CaC) (Azure Resource Manager, Puppet, Ansible, Terraform or similar)
  • Strong problem-solving skills, with the ability to think strategically and avoid tactical or short-term solutions when possible.
  • Experience working in Agile / Scrum teams.
  • Experience / Skillset

  • 8+ years of experience in platform engineering or a related field.
  • Strong knowledge of Databricks, including Spark optimization, cluster management, and governance frameworks.
  • Good knowledge of Azure DevOps-based tool chains
  • Proficiency in Python, SQL, and PySpark, with the ability to implement robust and efficient solutions in Databricks.
  • Expertise in Azure services such as Azure Data Factory, Azure Storage, and Azure Key Vault
  • Strong knowledge of Data modeling.
  • Strong knowledge of SDLC and Agile methodologies.
  • Excellent verbal and written communication skills.
  • Proven ability to manage multiple projects and priorities effectively while delivering to tight deadlines.
  • Time Passer Please excuse. Only JD matching candidates please share me your profiles to victorpauls@gmail.com

    Connect with me in LinkedIn for Swift response. Only screen shortlisted profiles will be contacted further.

    With Regards,

    Victor

    #Data #DataEngineer #AzureDatabricks #Python #SQL #Pyspark #DataModeling

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    Data Engineer • Mumbai, Maharashtra, India

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