Role : Azure Data Engineer

Experience : 8 to 13 Years

Relevant Experience : 8 Years

Location : Bangalore, RMZ Bellandur - Hybrid 3 days in a Week WFO

Shift Timings : 1pm to 10 pm

Mode of Interview : 1st round Virtual, 2nd round-F2F

Job Description :

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.

Key responsibilities :

- Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).

- Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).

- Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.

- Optimize data pipelines in the Azure environment for performance, scalability, and reliability.

- Ensure data quality and integrity through data validation techniques and frameworks.

- Develop and maintain documentation for data processes, configurations, and best practices.

- Monitor and troubleshoot data pipeline issues to ensure timely resolution.

- Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.

- Manage the CI/CD process for deploying and maintaining data solutions.

Required Qualifications :

- Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.

- At least 2 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes.

- Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.

- Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).

- Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).

- Experience with big data technologies (e.g., Spark).

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.

Preferred Qualifications :

- Learning agility

- Technical Leadership

- Consulting and managing business needs

- Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted.

- Experience building spark applications utilizing PySpark.

- Experience with file formats such as Parquet, Delta, Avro.

- Experience efficiently querying API endpoints as a data source.

- Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.

- Understanding of Git workflows in software development.

- Using Azure DevOps pipeline and repositories to deploy and maintain solutions.

- Understanding of Ansible and how to use it in Azure DevOps pipelines