Azure Data Engineer Ikrux

About Ikrux

Job Description

Mandatory Skills: Excellent knowledge and experience in Azure Data Services (like ADF, etc.) along with Databricks. Good knowledge and expertise in SQL, Python, PySpark. Good 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,