Data Engineer at Blitz Electric (IT W24) · Remote only · 2 - 4 years · ₹12L - ₹15L / yr · Raised funding · Remote only · Posted 6 Jun 2024
Python
JavaAbout us
Blitz is into Instant Logistics in Southeast Asia. Blitz was founded in the year 2021. It is in the business of delivering orders using EV bikes. Blitz not only delivers instant orders through EV Bikes, but it also finances the EV bikes to the drivers on lease and generates another source of revenue from the leasing as well apart from delivery charges. Blitz is revolutionizing instant coordination with the help of advanced technology-based solutions. It is a product-driven company and uses modern technologies to build products that solve problems in EV-based Logistics. Blitz is utilizing data sources coming from the EV bikes through IOT and smart engines to make technology-driven decisions to create a delightful experience for consumers
About the Role
We are seeking an experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. The ideal candidate will have a strong background in software engineering, database management, and data architecture, with a passion for building robust and efficient data systems
What you will do
- Design, build, and maintain scalable data pipelines and infrastructure to ingest, process, and analyze large volumes of structured and unstructured data.
- Collaborate with cross-functional teams to understand data requirements and develop solutions to meet business needs.
- Optimise data processing and storage solutions for performance, reliability, and cost-effectiveness.
- Implement data quality and validation processes to ensure accuracy and consistency of data.
- Monitor and troubleshoot data pipelines to identify and resolve issues in time.
- Stay updated on emerging technologies and best practices in data engineering and recommend innovations to enhance our data infrastructure.
- Document data pipelines, workflows, and infrastructure to facilitate knowledge sharing and ensure maintainability.
- Create Data Dashboards from the datasets to visualize different data requirements
What we need
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or similar role, with expertise in building and maintaining data pipelines and infrastructure.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong knowledge of database systems (e.g., SQL, NoSQL, BigQuery) and data warehousing concepts.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with data processing frameworks and tools (e.g., Apache, Spark, Hadoop, Kafka).
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications
- Advanced degree in Computer Science, Engineering, or related field.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Knowledge of machine learning and data analytics concepts.
- Experience with DevOps practices and tools.
- Certifications in relevant technologies (e.g., AWS Certified Big Data Specialty, Google Professional Data Engineer).
Please refer to the Company’s website - https://rideblitz.com/
Shubham Vishwakarma
Full Stack Developer - Averlon
About Blitz Electric (IT W24)
About
Blitz is into Instant Logistics in Southeast Asia. Blitz was founded in the year 2021. It is in the business of delivering orders using EV bikes. Blitz not only delivers instant orders through EV Bikes, but it also finances the EV bikes to the drivers on lease and generates another source of revenue from the leasing as well apart from delivery charges. Blitz is revolutionizing instant coordination with the help of advanced technology-based solutions. It is a product-driven company and uses modern technologies to build products that solve problems in EV-based Logistics. Blitz is utilizing data sources coming from the EV bikes through IOT and smart engines to make technology-driven decisions to create a delightful experience for consumers
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