Zingbus - Data Engineer - Python

2 days ago

Gurgaon, Haryana, India Zingbus Technology Pvt Ltd Full time ₹ 8,00,000 - ₹ 10,00,000 per year

Founded in 2019, zingbus is building the most trusted brand for intercity travel. Keeping reliability and safety at the core, we are building a two-sided platform that delivers standardized journey experience for travelers and increased earnings for our supply partners. We connect 300 cities acrossthe country through our daily services and have served 2.5 Mn unique customers so far and are aggressively working towards the fleet electrification and establishment of charging technology and infrastructure.

Raised Series A from Y Combinator, InfoEdge, AdvantEdge, and other prominent investorsfrom India and Silicon Valley. Additionally, secured a significant investment of $9 million from bp : Data EngineerLocation : GurgaonEducation : Preferred : Tier 1

  • BTech (Preferably)Key Responsibilities :
  • Develop, optimize and maintain scalable data pipelines for efficient data flow and transformation.
  • Design error handling and visibility solutions for monitoring pipeline health and failures.
  • Work with structured and unstructured data, ensuring data integrity and consistency.
  • Collaborate with cross-functional teams, including data scientists, analysts and engineers to understand data needs and provide solutions.
  • Ensure high performance and reliability of data infrastructure while automating data processing tasks.
  • Optimize data retrieval, storage and processing methodologies to enhance system efficiency.

Required Skills & Qualifications :

  • Proficiency in Python or any scripting language (e.g., Bash, Perl, JavaScript, or Shell scripting).
  • Strong debugging and troubleshooting skills with a focus on performance optimization.
  • Strong understanding of logic control, algorithms and data structures.
  • Experience in developing end-to-end data processing solutions.
  • Ensure compliance with data governance and security standards.
  • Hands-on experience in ETL pipelines, workflow orchestration tools (e.g., Airflow), and data warehousing solutions.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Kafka, Hadoop, etc.).
  • Experience with database management systems such as SQL, NoSQL or columnar databases.
  • Knowledge of CI/CD pipelines and version control systems (Git, GitHub, Bitbucket).

Preferred Qualifications :

  • Familiarity with real-time data streaming and event-driven architectures.
  • Exposure to monitoring tools like Grafana or ELK stack.
  • Basic knowledge of machine learning workflows and MLOps practices.

Why Join Us :

  • Work on cutting-edge data engineering projects that drive business growth.
  • Opportunity to innovate and optimize data infrastructure at scale.
  • Collaborative and growth-oriented work environment.

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