Python Automation Engineer

As a Python SDET specializing in data practices, you will be pivotal in developing, migrating and optimizing data-intensive applications and solutions on cloud platforms. Leveraging your expertise in cloud technologies and data engineering principles, you will implement efficient solutions. Your innovative mindset and proficiency in cloud platforms will drive efficiency and agility within our development teams.

Responsibilities:

• Collaborate as part of a development team to design and enhance large scale applications developed using Python, Spark.
• Evaluates and plans software designs, test results and technical manuals using AWS.
• Solve for complex data integrations across multiple systems.
• Design and execute strategies for real-time data analysis and decisioning.
• Build robust data processing pipelines using AWS Services and integrate with multiple data sources.
• Translating client user requirements into data flows, data mapping, etc.
• Analyses and determines data integration needs and follows Agile practices.

Required Skills:

• Python - Should have very good experience in Python development, automation, and integration.
• SQL - Should have very good experience in SQL along with relational database concepts.
• Unix/Linux - Should have good understanding of Unix environments, commands, and shell scripting knowledge.
• Python Automation Implementation - We mostly implement automations in Unix environments. It is good to have experience on Linux/Unix implementation along with Windows.
• Python experience for API automation using Rest Assured libraries.
• AWS - Should have good hands-on experience on S3 and connecting different databases like Redshift, Athena and Hudi.

Education: Any Degree