Cloud Data Engineer

1 day ago


Hyderabad, Telangana, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Data Engineering Role:

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  • Data Engineers design, build, and optimize data pipelines and architectures.">
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They work closely with data scientists, analysts, and business teams to ensure reliable, high-quality, and well-structured data is available for decision-making.

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The ideal candidate should have expertise in big data technologies, cloud platforms, ETL processes, and data modeling, with a passion for problem-solving and optimizing performance.

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Responsibilities:

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  • Develop and deliver features and tasks as part of the Data Warehouse team">
  • Build and improve innovative BNL offerings applying marketing suites">
  • Architect and implement workflow management systems using Airflow">
  • Design and develop data warehouses per business nature using modern data warehouses">
  • Implement containerization and orchestration technologies such as Docker and Kubernetes">
  • Maintain Spark applications and fundamental understanding of Parquet, Delta Lake, and other OTFs file formats">
  • Use IaC tools like Terraform, CDK, or CloudFormation">
  • Work with observability systems such as Datadog or Prometheus/Grafana">
  • Build CI/CD processes using GitHub Actions, ArgoCD, or Jenkins">
  • Write unit tests and provide good quality readable business documentation">
  • Communicate effectively with internal customers and focus on business value vs engineering interest">
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Requirements:

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  • 8 years of experience in software development and data structures/algorithms with a focus on backend and data engineering">
  • 5 years of hands-on experience in using Python, JVM, and Shell Scripting with production experience">
  • 3 years of proven experience on building cloud native data intensive applications, Amazon Web Service experience is a must and good to have experience in GCP">
  • Experience on Data Warehouse design and development per the business nature using any of the modern data warehouses, having experience in Databricks and dbt is required">
  • Hands-on experience of building and maintaining Spark applications">
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)">
  • Proficiency on an IaC tool such as Terraform, CDK or CloudFormation is a must">
  • Experience with observability systems (such as Datadog or Prometheus/Grafana)">
  • Strong experience on building CI/CD processes, experience with GitHub Actions, ArgoCD or Jenkins is good to have">
  • Experience with unit testing and test automation frameworks">
  • Comfortable providing, receiving constructive feedback, particularly while participating in code reviews and ability to not only code, but also provide good quality readable business documentation">
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About the Team:

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You'll be part of an emerging team focusing on building and improving our innovative BNL Data Warehouse offerings applying marketing suites.



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