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Data Analyst

LiveMindz

 

Bangalore, Karnataka, India

Posted On: 6 days ago
Experience: 3+ years
Availability: Hybrid
Openings: 1
Category: Data Analyst
Tenure: No Preference/Any
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Description

You will own the data engineering, analytics, and MLOps lifecycle within cloud environments, primarily leveraging Databricks.

This role is on-site.

Responsibilities

  • Manage Databricks environments, including workspace configuration, cluster setup, performance tuning, and cost optimization.
  • Build, execute, and monitor cloud data pipelines (Azure/AWS/GCP) to ensure scalability and data quality.
  • Support MLOps workflows by deploying, monitoring, and retraining machine learning models using MLflow and version control best practices.
  • Implement CI/CD practices via GitHub to automate testing, deployment, and environment management.
  • Translate technical findings into executive-ready summaries and validate datasets for accuracy.

Required Skills

  • 1–3 years of hands-on experience with the Databricks Platform.
  • Proficiency in cloud data engineering on AWS, Azure, or GCP.
  • Experience with MLOps tools, specifically MLflow, for model lifecycle management.
  • Strong background in Data Engineering and Analytics Engineering.
  • Competency in Git/GitHub for source control and CI/CD implementation.
  • Ability to interpret complex data outputs and create clear diagnostic summaries.
  • Bachelor’s or Master’s degree in Analytics, Statistics, Engineering, Mathematics, or related field.

Preferred Skills

  • Experience optimizing production workloads across development, staging, and production environments.
  • Proven ability to manage stakeholder requirements and deliver actionable business insights.

Education

Bachelor's or Master's degrees

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