Our Client needs highly enthusiastic Python/Databricks engineers to create, tune, maintain and build reporting for the Big Data platforms that drive their retail business.

Key responsibilities:

Performing systems integration design and development in cloud architecture design (Azure)

Building sizing and cost models for Cloud Services (Azure)

Review enhancement requests and recommend best solution to stakeholders as SME.

Containerizing ingestion processes using docker and kubernetes services.

Understand business requirements to design , build, develop and test data integration pipelines.

Plan, direct DevOps implementation and system hardware/software updates for better performance, stability.

Work on the BI dashboards to support retail stores and the Azure AI platform that runs the personalized consumer experiences used by millions each day.

Knowledge and Skills:

5 years or demonstrated mastery of dvelopment with programming laugages - Python, SQL, Unix.

2 years experience with Apache Spark and Databricks cloud tool sets (AWS or Azure).

1 years experience with Google Cloud Platform/Azure Cloud Big Data tools (PowerBI/DataLake/ Azure Databricks).

Self-motivated with excellent analytical, problem solving, verbal and communication skills.

Proficiency in API security frameworks, token management and UAC including OAuth, JWT, etc.

Basic knowledge of using Devops, Github, JIRA tools and ability to work in agile environment.

Bachelos degree - Computer Science or equivalent.

Open Source Development experience is add on