Azure Databricks Engineer

at  Cognizant

Sydney NSW 2000, New South Wales, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate05 Sep, 2024Not Specified06 Jun, 2024N/AProfessional Development,Soft Skills,Data Architecture,Sql,Python,Apache SparkNoNo
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Description:

Do you have DevOps or software developer experience, and are you seeking a new job in Sydney? Cognizant is looking for a Azure Databricks Engineer, and the role comes with an excellent salary and benefits package.
This Azure Databricks Engineer role is pivotal in developing and implementing advanced data solutions that drive our client’s strategic objectives and enhance their capabilities in the insurance sector.

In your first few weeks in this role, you can expect to:

  • Lead the design and implementation of scalable data processing and analytics solutions using the company’s database platform
  • Collaborate with cross-functional teams to understand data needs and deliver high-quality data solutions
  • Optimise data workflows and pipelines for performance and scalability
  • Ensure data integrity and compliance with industry standards and company policies
  • Implement security measures to protect data and infrastructure, including integration with Azure Key Vault.

To apply for this Senior Azure Databricks Engineer role, your soft skills, expertise and experience should include:

  • Extensive work knowledge on Azure Databricks and Apache spark to develop ETL pipelines
  • Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale
  • Excellent experience in Python and SQL.
  • Extensive experience with large-scale data processing solution.
  • Good knowledge of Data Warehousing concepts & Data Modelling
  • Expertise with building CI/CD pipelines using Azure devops (or similar)
  • Should have experience working on complex data architecture.
  • Experience in Azure Databricks , Azure Synapse, ADF.
  • Knowledge of Kafka Structured Streaming, Delta Live Pipelines, Unity Catalog, and SQL and Database Workspace Admin is a plus.

You’ll receive an excellent salary and benefits package for your knowledge, expertise and flexibility. At Cognizant, taking care of employees is a priority:

  • You can pursue innovative career tracks and opportunities here
  • You can enhance your professional development through education and dedicated training
  • We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Please reach out to our team today to apply and register your interest in this full-time Azure Databricks Engineer position in Sydney. They’d be thrilled to hear from you. We’d love to help you get your next role and enable you to fulfil your professional ambitions.
At Cognizant, we engineer modern businesses to improve everyday life because we’re dedicated to making a lasting impact. Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant

Responsibilities:

In your first few weeks in this role, you can expect to:

  • Lead the design and implementation of scalable data processing and analytics solutions using the company’s database platform
  • Collaborate with cross-functional teams to understand data needs and deliver high-quality data solutions
  • Optimise data workflows and pipelines for performance and scalability
  • Ensure data integrity and compliance with industry standards and company policies
  • Implement security measures to protect data and infrastructure, including integration with Azure Key Vault

To apply for this Senior Azure Databricks Engineer role, your soft skills, expertise and experience should include:

  • Extensive work knowledge on Azure Databricks and Apache spark to develop ETL pipelines
  • Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale
  • Excellent experience in Python and SQL.
  • Extensive experience with large-scale data processing solution.
  • Good knowledge of Data Warehousing concepts & Data Modelling
  • Expertise with building CI/CD pipelines using Azure devops (or similar)
  • Should have experience working on complex data architecture.
  • Experience in Azure Databricks , Azure Synapse, ADF.
  • Knowledge of Kafka Structured Streaming, Delta Live Pipelines, Unity Catalog, and SQL and Database Workspace Admin is a plus


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Sydney NSW 2000, Australia