Azure Data Engineer

3 weeks ago


Pune, India Tietoevry Full time

Key Technologies and Skills You'll Work With:

Microsoft Fabric

Azure Data Stack

Azure Databricks

Snowflake

DataOps and DevOps Practices


As a Lead Data Engineer, you will be at the forefront of innovation, leading the design, development, and optimization of data solutions.

Primary Requirements:

8+ years of experience in data engineering roles, with team lead experience.

Knowledge and application of Microsoft Fabric for data integration and orchestration.

Hands-on experience with either of the data technologies - Azure Data Stack (Azure Data Lake, Azure Synapse, Snowflake, Databricks.).

Expertise in Azure Databricks for building scalable data pipelines and big data processing.

Proven proficiency with Snowflake for data warehousing and management.

Experience with DataOps and DevOps methodologies to implement automation, CI/CD pipelines, and agile data delivery.

Strong knowledge of ETL processes, data modeling, and SQL.

Ability to lead and mentor a team of data engineers, while collaborating effectively across multi-disciplinary teams.

Roles and Responsibilities:

Azure Data Architect: Lead the design and development of scalable, efficient, and secure data platforms on the Azure cloud, ensuring seamless integration across the data lifecycle.

Azure Databricks Specialist: Oversee and optimize data pipelines, transforming raw data into actionable insights using Azure Databricks.

Snowflake Expert: Lead the design and management of high-performance data warehousing solutions, ensuring scalability, security, and efficiency with Snowflake.

Microsoft Fabric Integrator: Collaborate on data fabric initiatives, ensuring seamless data access and analytics across diverse data sources.

DataOps & DevOps Champion: Implement DataOps and DevOps methodologies to automate workflows, enhance pipeline quality, and ensure continuous integration and delivery.


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