Data Engineer

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.