Data Engineer- Azure Data Factory and IICS

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Data Engineer

The Data Engineer role is the software engineering position in the Business Intelligence and Data Warehousing team. This person develops reliable data ingestion to enable high-value business intelligence products. This is an individual contributor role with a focus on hands on development as well as problem solving for production support issues. 8+ years of engineering experience required including work on Azure Data Factory and Informatica Power Center / IICS.

Responsibilities

1. Delivering data integration solutions using Microsoft Azure services and other tools.
2. Automate tasks and deploy production standard code with unit testing, continuous integration, versioning etc.
3. Designing, developing, and maintaining data pipelines using Azure Data Factory.
4. Work in an Agile framework.
5. Primary for production support activities with secondary support from others.
6. Learn and leverage new tools as required to meet evolving business requirements.

Required Skills

1. Strong recent experience working as Azure Data Engineer, with some prior experience in either Informatica IICS or Power Center.
2. Experience in Cloud Application Integration and Cloud Data Integration using Azure Data Factory, Azure Functions and Serverless architecture.
3. Good knowledge of Rest V2, Swagger file generation and Python scripting.
4. Experience in developing application integration using SOAP/REST APIs and big data technologies such as Apache Spark.
5. Experience in DevOps platforms such as Azure DevOps and GitHub.

Preferred Skills

1. Experience in Kubernetes, Docker, Terraform, and/or Snowflake.
2. Working knowledge of SQL and data analysis.