Match score not available

Azure Data Engineer

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

India

Offer summary

Qualifications:

Strong experience in Python/Pyspark, Understanding of Azure Data Lake and Synapse technologies, Proficient in data modeling skills, Experience with version control systems, Excellent problem-solving skills.

Key responsabilities:

Design, develop, and implement Azure data solutions
Create and maintain data pipelines and ETL processes
Optimize data storage for performance and scalability
Collaborate with teams to build data models
Ensure data quality through validation and cleansing

ProArch Information Technology & Services SME https://www.proarch.com/

201 - 500 Employees

See more ProArch offers

Job description

ProArch is hiring a skilled Azure Data Engineer to join our team. As an Azure Data Engineer, you will be responsible for designing, implementing, and maintaining data processing systems using Azure technologies. Additionally, you will collaborate with cross-functional teams to understand business requirements, identify opportunities for data-driven improvements, and deliver high-quality solutions. If you have a strong background in Azure data tools and technologies, excellent problem-solving skills, and a passion for data engineering, we want to hear from you!

Responsibilities:

Design, develop, and implement data engineering solutions on the Azure platform
Create and maintain data pipelines and ETL processes
Optimize data storage and retrieval for performance and scalability
Collaborate with data scientists and analysts to build data models and enable data-driven insights
Ensure data quality and integrity through data validation and cleansing
Monitor and troubleshoot data pipelines and resolve any issues
Stay up-to-date with the latest Azure data engineering best practices and technologies

Requirements

Excellent communication skills
Strong experience in Python/Pyspark
The ability to understand businesses concepts and work with customers to process data accurately.
A solid of understanding Azure Data Lake, Spark for Synapse (or Azure Databricks), Synapse Pipelines (or Azure Data Factory), Mapping Data Flows, SQL Server, Synapse Serverless/Pools (or SQL Data Warehouse).
Experience with source control, version control and moving data artifacts from Dev to Test to Prod.
A proactive self-starter, who likes deliver value, solves challenges and make progress.
Comfortable working in a team or as an individual contributor
Good data modelling skills (e.g., relationships, entities, facts, and dimensions)