Azure Data Engineer

Bangalore Location

Hybrid Mode

Immediate Joiner Only

About the position:

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:

· Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.

* 3-5 years experience

· 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.