Cloud Data Engineer

4 days ago


Anywhere in IndiaMultiple Locations MindBrain Full time

Job Overview

MindBrain seeks a skilled Cloud Data Engineer to design, build, and maintain robust data pipelines using Databricks and Snowflake. This role involves collaborating with data scientists and analysts to deliver actionable insights, developing and managing data integrations, and implementing cloud-based data solutions on AWS and Azure.

Key Responsibilities

  • Design and develop scalable ETL pipelines to process large-scale datasets.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality insights.
  • Develop and manage data integrations across various sources, ensuring data accuracy and reliability.
  • Implement and optimize cloud-based data solutions to support scalability and performance.
  • Automate data workflows and ensure high data availability and disaster recovery strategies.
  • Monitor and troubleshoot data pipelines, resolving performance bottlenecks and ensuring data integrity.
  • Document technical designs, processes, and workflows for transparency and future reference.

Required Skills

  • Databricks: Advanced proficiency in using Databricks for building and managing data pipelines.
  • Snowflake: Hands-on experience with Snowflake, including database design, data modeling, and optimization.
  • Cloud Platforms: Strong expertise in AWS and Azure for deploying and managing cloud-based data solutions.
  • Programming Languages: Proficiency in Python or Scala for data processing and automation.
  • Data Modeling: Knowledge of data warehouse and data lake architectures.
  • Big Data Tools: Experience with Spark, Kafka, or similar big data processing frameworks is a plus.
  • DevOps: Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform or CloudFormation.


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