Azure Data Engineer

4 weeks ago


Delhi, Delhi, India Redihire Global Services Pvt Ltd Full time

Duration : 6 months

Location : Remote

Timings : Full Time (As per company timings)

Notice Period : (Immediate Joiner - Only)

Experience : 3-6 Years

JD :

The role will leverage & enhance existing technologies in the area of Data and analytics Solutions like Power BI, Azure data engineering technologies, Teradata/Snowflake, and other Azure services.

The role will be responsible for developing and supporting IT products and solutions using these technologies and deploying them for business users

Technical Requirements :

- 3 to 6 Years of IT & Azure Data engineering technologies experience

- Prior experience in ETL, data pipelines, and data flow techniques using Azure Data Services

- Working experience in Python, Py Spark, Azure Data Factory, Azure Data Lake Gen2, Databricks, Azure Synapse, and file formats like JSON & Parquet.

- Experience in creating ADF Pipelines to source and process data sets.

- Experience in creating Databricks notebooks to cleanse, transform, and enrich data sets.

- Development experience in the orchestration of pipelines

- Good understanding of SQL, Databases, and data warehouse systems, preferably Teradata

- Experience in deployment and monitoring techniques

- Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources.

- Experience in handling operations/Integration with source repository

- Must have good knowledge of Data Warehouse concepts and Data Warehouse modelling.

- Working knowledge of SNO, M, S, including resolving incidents, handling Change requests /Service requests, and reporting on metrics to provide insights.

- Collaborate with the project team to understand tasks to model tables using data warehouse best practices and develop data pipelines to ensure the efficient delivery of data.

Non-technical requirement :

- Work with project leaders to model tables using data warehouse best practices and develop data pipelines to ensure the efficient delivery of data.

- Think and work agile, from estimation to development, including testing, continuous integration, and deployment.

- Manage numerous project tasks concurrently and strategically, prioritizing when necessary.

- Proven ability to work as part of a virtual team of technical consultants working from different locations (including onsite) around project delivery goals.

Technologies :

- Azure data factory

- Azure Data bricks

- Azure Synapse

- PySpark/SQL

- ADLS, BLOB

- Azure DevOps with CI/CD implementation.

Nice to have skill sets :

- Business Intelligence tools (preferred -Power BI)

Note : The budget is inclusive of GST

3 interview rounds

(ref:hirist.tech)

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