Job Role & responsibilities:-

- Design and implement data solutions using medallion architecture, ensuring effective organization and flow of data through bronze, silver, and gold layers.

- Supporting key business operations. This involves architecture designing, building and deploying data systems, pipelines etc

- Designing and implementing agile, scalable, and cost efficiency solution on cloud data services.

- Migrate data from traditional database systems to Cloud setting

Technical Skill, Qualification &

experience required:-

- 5-6 years of experience in Azure Cloud Data Engineering, Azure Databricks, datafactory , Pyspark, SQL,Python

- Hands on experience in Data Engineer, Azure Databricks, Data factory, Pyspark, SQL

- Proficient in Cloud Services Azure





- Architect and implement ETL and data movement solutions.

- Strong hands-on experience for working with Streaming dataset

- Building Complex Notebook in Databricks to achieve business Transformations.

- Hands-on Expertise in Data Refinement using Pyspark and Spark SQL

- Familiarity with building dataset using Scala.

- Familiarity with tools such as Jira and GitHub

- Experience leading agile scrum, sprint planning and review sessions

- Good communication and interpersonal skills

- Comfortable working in a multidisciplinary team within a fast-paced environment

* Immediate Joiners will be preferred only

📌 Azure Data Engineer (Exp into Azure Databricks, Pyspark, SQL) (Bengaluru)
🏢 Adecco India
📍 Bengaluru