Big Data

1 week ago


Thāne, Maharashtra, India TEKNIKOZ Full time

Greetings from Teknikoz

Experience : 5-7 Years

Skill Required: Digital: Big Data and Hadoop Ecosystems~Digital: Python~Digital: PySpark

Specific activities required:

  • Lead the implementation of infrastructure via code and provide strategic advice/recommendations for the development and advancement of Microsoft Azure technologies based on previous research on trends in public cloud environments.
  • Integrate and automate the delivery of standardised Azure deployments, in conjunction with orchestration products such as Azure DevOps with Terraform, Azure ARM templates and other modern deployment technologies.
  • Act as the escalation point for level three Azure-related issues, providing technical support and fault resolution, as well as guidance and mentoring of operational run teams, both locally and remotely throughout the organization.
  • Ensure the appropriate gathering of business requirements and their translation into appropriate solutions.
  • Maintain and deliver all related documentation for the design, development, build, and deployment methods used, ensuring the source of control of all applicable code is stored and managed properly.
  • Provide guidance and assistance to al support teams.
  • Provide complimentary support and leadership in hardening and security testing.

KEY COMPETENCIES:

Key competences: - Tertiary qualifications in a relevant discipline with relevant certifications in Microsoft Azure. - Worked as Data engineer on Azure Cloud - Good knowledge of Pyspark, Azure Data Factory - Comprehensive knowledge of public cloud environments and industry trends. - Significant experience supporting, , designing, and developing public cloud solutions via Infrastructure as Code, including Terraform and ARM. - Extensive DevOps experience. - The ability to communicate effectively and work collaboratively with diverse team members. - Demonstrated experience in security hardening and testing. - Proven ability in creating and updating accurate documentation. - Excellent verbal and written communication skills. - Willingness and flexibility to work outside of standard office hours, and on weekends as required


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