Company
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer. Skills: Data Engineering, Data Pipelines, ETL, Python. Develop Data pipelines. Maintain Data pipelines”
What You'll Achieve.
Ensure optimal performance
Industry & Context.
Problem-solving; Root Cause analysis; Troubleshoot data systems
What They're Looking For.
Must Have
3-8 years experience, Hands-on coding in Python, Familiar with Docker, Familiar with Kubernetes
Nice to Have
Net experience is a plus, Kafka experience is a plus
What You'll Do.
Develop Data pipelines
Maintain Data pipelines
Extract complex datasets
Transform complex datasets
Load complex datasets
Collaborate with development team
Collaborate with Product owners
Troubleshoot data systems
How You'll Work.
Team & Collaboration
Collaborating with development team; Collaborating with Product owners; Collaborative team environment
Communication Scope
Written communication; Verbal communication
Full Job Description
Role: Data Engineer Experience: 3-8 years (T9/T8/T7) Overview: We are seeking a highly skilled Data Engineer to join our engineering team. In this role, you will be instrumental in designing, developing, and maintaining robust and scalable Data Engineering solutions & Data pipelines from front to back. You will work across the entire software development lifecycle, contributing to ETL, loading complex data set, handling time series data, build data pipelines, optimization of data pipelines, orchestration. We are also looking for Kafka, kubernetes & CICD experience. We are looking for strong communication skills and keen learner who is willing to adapt to changing technologies About the Project: You will be working on full stack solutions for the Mercedes Grand Prix - Formula1 – MGP. It will include development front end, backend and UI development for Trackside & Engineering applications Key responsibilities: · Develop and Maintain Data pipelines · Extract, Transform and Load complex datasets in various file formats · Hands-on coding in Python (.net or Kafka is plus) · Familiar with Docker & Kubernetes · Collaborating with development team & Product owners · Root Cause analysis of any failures of jobs in Production. · Monitor and troubleshoot data systems to ensure optimal performance. Skills: · Python / SQL / Data bases / Time series data handling · Cloud, Kubernetes, Docker · Data Pipelines & Workflow, CICD, Git · Data Engineering & Data Handling & ETL of timeseries & large datasets · Hands-on working experience on above skills. · Soft Skills: Excellent written and verbal communication skills, Problem-solving, Flexible, Self-driven, Team Player · Other good to have skills: Dashboard build using Grafana/Any Reporting Tool - Ability to work effectively in a collaborative team environment. - Excellent problem-solving skills and attention to detail. Mer
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