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Data Engineer - Azure Databricks

Risk Resources LLP
Multiple Locations
4 - 6 Years

Posted on: 17/11/2025

Job Description

Desired Competencies (Technical/Behavioral Competency) :


Must-Have : ETL Knowledge, SQL Programming, Azure, Databricks


Good-to-Have : Python Automation


Responsibility of / Expectations from the Role :


- Should have experience in database/ETL concepts & testing


- Should have experience in understanding business requirements and translating them (writing) and resolving

complex sql queries.


- Should be able to write new code (SQL/java/python/excel macro) to compare two tables, create test scenario/ test data


- Experience working with Cloud (Azure,AWS)


- Experience in handling semi structure data like csv, json, text


- Ability to influence and negotiate with others to meet project deadlines without compromising quality


- Should be very strong in writing SQL queries using complex data types


- Should be able to create testcases, scenarios, test-plan, test scripts


- Should have basic knowledge in Selenium using TestNG or BDD (cucumber)


Responsibilities :


- Design, develop, and test ETL processes, data pipelines, and data solutions using Azure, Databricks, and SQL.


- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.


- Develop and maintain complex SQL queries, data models, and data visualizations.


- Write new code (SQL, Java, Python, Excel macro) to compare two tables, create test scenarios, and test data.


- Work with semi-structured data (CSV, JSON, text) and cloud-based data platforms (Azure, AWS).


- Create test cases, scenarios, test plans, and test scripts.


- Participate in agile development methodologies and collaborate with team members to meet project

deadlines.


Requirements :


- 3+ years of experience in ETL development, with focus on Azure, Databricks, and SQL.


- Strong knowledge of ETL concepts, data warehousing, and data integration.


- Proficiency in SQL programming, including complex queries and data modeling.


- Experience with Azure, Databricks, and cloud-based data platforms.


- Ability to write clear and concise technical documents.

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