Cloud Data Solutions Architect

3 days ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 30,00,000 - ₹ 40,00,000
Job Title

A highly skilled AWS Data Engineer is required to design and implement scalable cloud-based data solutions.

About the Role

We are seeking an experienced professional with a strong background in cloud data engineering, able to work on complex projects and collaborate with cross-functional teams.

  • The ideal candidate will have 5-7 years of experience in cloud data engineering solutions, with a focus on architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions.
  • They will be proficient in Lambda or Kappa Architectures, with a good knowledge of Big Data frameworks and related technologies - Hadoop and Spark experience is mandatory.

Key Responsibilities:

  • End-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS.
  • Planning and organization skills to ensure timely completion of projects.
  • Ability to work as a cloud developer/lead on an agile team and provide automated cloud solutions.

Requirements:

  • Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions.
  • Strong expertise in end-to-end implementation of Cloud data engineering solutions like Enterprise Data lake, Data hub in AWS.
  • Proficient in Lambda or Kappa Architectures.
  • Should be aware of Data Management concepts and Data Modelling.
  • Strong AWS hands-on expertise with a programming background preferably Python/Scala.
  • Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.
  • Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules.
  • Good knowledge in AWS Security and AWS Key management.
  • Strong understanding of Cloud data migration processes, methods and project lifecycle.

Preferred Skills:

  • Experience in building stream-processing systems, using solutions such as Storm or Spark-Streaming.
  • Experience in Big Data ML toolkits, such as Mahout, SparkML, or H2O.
  • Knowledge in Python.

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