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Data Engineer

Live ConnectionsMumbai, India

3 days 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

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, India

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