“Mandatory Skills:

- Excellent knowledge and experience in Azure Data Services (like ADF, etc.) along with Databricks.
- Good knowledge and expertise in SQL, Python, PySpark.
- Positive understanding of ETL & Data warehousing concepts.
- Excellent written & spoken communication skills, ability to interact with customer & relevant stakeholders.
- Ability to understand the provided requirements and architecture and be able to translate it into the implementation, following best practices.
- Self-driven and excellent learning attitude.
- Knowledge and exposure to Databricks.
- Experience in Snowflake Datawarehouse.

Good to have:

- Experience & conceptual knowledge of Bigdata technologies – Hadoop, HDFS, Hive, Spark.
- Knowledge and exposure to Databricks.
- Experience on ETL tools (like Matillion, DBT, etc.).
- Exposure to other cloud platforms.

Roles & Responsibilities
Azure Data Engineers with 3 to 8 years of experience.

- The Data Engineer is part of Information Technology responsible for supporting data and analytics solutions across projects.
- This individual will collaborate with various projects and create data solutions for variety of business use cases.
- Drive innovation within Data Engineering by playing a key role in technology for the future of our data and analytics.




- Critical team member in the design and development of highly complex data projects
- Identify gaps and weaknesses in our data stack and continue to guide, learning advancements for the team.
- Provide technical expertise to teams in all phases of work including analysis, design, development, and implement cutting-edge solutions.
- Negotiate and influence changes outside of the team that continuously shape and improve the Data.
- Understand the UI needs, backend design, and data design and create the backend code for the same.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Design and implement APIs and integrate with third-party APIs as needed.
- Develop and maintain databases using technologies such as MongoDB or MySQL
- Create reusable code and libraries for future use.- Optimize applications for maximum speed and scalability.
- Troubleshoot and debug issues, and provide timely resolutions.

“

Primary Skills:
Azure Data Services
SQL, Python, PySpark
ETL & Data warehousing
Knowledge and exposure to Databricks.
Experience in Snowflake Datawarehouse.

No of Position: 2
Experience Range: 3-8 years
Budget: 18 USD

📌 Azure Data Engineer (India)
🏢 iKrux
📍 India