Data Architect

4 weeks ago

Anywhere in IndiaMultiple Locations, IN Marktine Technology Solutions Full time

Job Description :


We are looking for an experienced Data Architect with a strong background in data engineering and visualization to join our team.

The ideal candidate will have hands-on experience in data warehousing, data lakes/lakehouses, and expertise in working with technologies such as Spark and Snowflake.

Additionally, the candidate should have proficiency in Docker Containers and a strong understanding of Azure services, including Azure Databricks, Azure DevOps, Azure Data Factory (ADF), AKS, Azure App Service, and Azure Machine Learning (ML).

Responsibilities :

- Design and develop robust data architecture solutions, including data warehousing and data lakes/lakehouses, to meet business needs.

- Hands-on experience in Spark and Snowflake to build and maintain data pipelines and ETL processes.

- Utilize Docker Containers for efficient deployment and management of data applications and services.

- Implement and manage Azure services, including Azure Databricks, Azure DevOps, ADF, AKS, Azure App Service, and Azure ML.

- Collaborate closely with cross-functional teams to gather and analyze data requirements and design scalable and efficient data solutions.

- Work on batch or stream processing projects to create data sets and pipelines for consumption by BI and data science teams.

- Ensure data security, integrity, and compliance with regulatory standards.

Requirements :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Proven experience as a Data Architect or similar role, with expertise in data warehousing, data lakes/lakehouses, and Spark/Snowflake.

- Hands-on experience with Docker Containers and Azure services, including Azure Databricks, Azure DevOps, ADF, AKS, Azure App Service, and Azure ML.

- Strong background in data engineering and visualization, with a focus on designing and developing scalable data solutions.

- Experience working on batch or stream processing projects and creating data for consumption by BI and data science teams.

- Excellent analytical and problem-solving skills, with the ability to communicate effectively with technical and non-technical stakeholders

(ref:hirist.tech)

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