Senior Python & AWS Data Engineer — Real-Time Analytics

Luxoft; Polska; In loco; PLN 180.000 - 280.000; Tempo pieno

Descrizione del lavoro

Luxoft is seeking a Senior Python Engineer to design and implement data platforms, databases, and pipelines for analytics across local and remote environments.

You will build ETL workflows using SQL and Python, apply OO design, mentor teammates, and work with AWS services to deploy scalable solutions in an Agile setting.

Competenze

• Minimum 6 years of Python engineering experience.
• Strong OO design and system design patterns knowledge.
• Experience with development processes, security, QA practices.
• Experience mentoring and building team skills.
• Experience with Linux.
• Experience with Timeseries DB and real-time data.
• Experience with AWS Services (Lambda, EC2, Cognito, Greengrass).
• Experience in Agile environment.
• Industry/Manufacturing experience is highly desired.

Mansioni

• Analyze, design and implementing databases, information models and data pipelines.
• Building the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL or programming languages.
• Building analytics solutions that provide valuable insights for clients and end users.
• Improving system quality by identifying issues and common patterns, and developing standard operating procedures
• Enhancing applications by identifying opportunities for improvement, making recommendations and designing and implementing systems
• Maintaining and improving existing codebases and peer review code changes
• Working with AWS services to deploy, scale, and manage applications

Conoscenze

Python

OO design

System design patterns

Mentoring

Agile

Security QA practices

Team processes

Strumenti

Linux

Timeseries DB

AWS (Lambda, EC2, Cognito, Greengrass)

Descrizione del lavoro

Monitoring and diagnostics system which fulfills both local and remote data access and analytics requirement, as well as local and remote troubleshooting purpose.

Responsibilities:

-Analyze, design and implementing databases, information models and data pipelines.

-Building the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL or programming languages.

-Building analytics solutions that provide valuable insights for clients and end users.

- Improving system quality by identifying issues and common patterns, and developing standard operating procedures

- Enhancing applications by identifying opportunities for improvement, making recommendations and designing and implementing systems

- Maintaining and improving existing codebases and peer review code changes

- Working with AWS services to deploy, scale, and manage applications

Mandatory Skills Description:

• Minimum 6 years of experience as a Python Engineer.

• Strong software engineering skills, including object-oriented design and an understanding of system design patterns

• Experience of presenting and implementing development team processes / best practices for environments, security, coding standards, QA processes etc

• Experience of mentoring and building the skills of team members

• Experience with Linux

• Experience with Timeseries DB and real-time data

• Experience with AWS Services (Lambda, EC2, Cognito, Greengrass);

• Experience working in an agile environment.

• Experience in Industry/Manufactoring is highly desired !

Nice-to-Have Skills Description:

AWS certification, MQTT, Modbus, or similar industrial protocols.