Data Engineer

Primary Responsibilities -

Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.

Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes

Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations

Use Azure Data Factory and Databricks to assemble large, complex data sets

Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.

Ensure data security and compliance

Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

Blend of technical expertise, analytical problem-solving, and collaboration with cross functional teams

Azure DevOps

Apache Spark, Python

SQL proficiency

Azure Databricks knowledge

Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).