Senior Data Engineer(SSE)
Hyderabad, India
Ninja Van
Ninja Van is Southeast Asia’s leading logistics provider, with the highest service coverage over 6 countries in the region. Experience the joy of hassle-free deliveries by shipping with Ninja Van today.More about us: - We process 250 million API requests and 3TB of data every day.- We deliver more than 2 million parcels every day.- 100% network coverage with 2600+ hubs and stations in 6 SEA markets (Singapore, Malaysia, Indonesia, Thailand, Vietnam and Philippines), reaching 500 million consumers.- 2 Million active shippers in all e-commerce segments, from the largest marketplaces to the individual social commerce sellers.- Raised more than US$500 million over five rounds.
We are looking for world-class talent to join our crack team of engineers, product managers and designers. We want people who are passionate about creating software that makes a difference to the world. We like people who are brimming with ideas and who take initiative rather than wait to be told what to do. We prize team-first mentality, personal responsibility and tenacity to solve hard problems and meet deadlines. As part of a small and lean team, you will have a very direct impact on the success of the company.
Roles & Responsibilities
- Design, develop, and maintain Ninja Van's infrastructure for data streaming, processing, and storage.
- Build tools to ensure effective maintenance and monitoring of the data infrastructure.
- Contribute to key architectural decisions for data pipelines and lead the implementation of major initiatives.
- Collaborate with stakeholders to deliver scalable and high-performance solutions for data requirements, including extraction, transformation, and loading (ETL) from diverse data sources.
- Enhance the team's data capabilities by sharing knowledge, enforcing best practices, and promoting data-driven decision-making.
- Develop and enforce Ninja Van's data retention policies and backup strategies, ensuring data is stored redundantly and securely.
Requirements
- At least 5+ years of experience in a similar role, with a proven track record of building scalable and high-performance data infrastructure using Python, PySpark, Spark, and Airflow.
- Solid computer science fundamentals, excellent problem-solving skills, and a strong understanding of distributed computing principles.
- Expert-level SQL knowledge and extensive experience working with both relational and NoSQL databases.
- Advanced knowledge of Apache Kafka, along with demonstrated proficiency in Hadoop v2, HDFS, and MapReduce.
- Hands-on experience with stream-processing systems (e.g., Storm, Spark Streaming), big data querying tools (e.g., Pig, Hive, Spark), and data serialization frameworks (e.g., Protobuf, Thrift, Avro).
- [Good to have] Familiarity with infrastructure-as-code technologies like Terraform, Terragrunt, Ansible, or Helm. Don’t worry if you don’t have this experience—what matters is your interest in learning!
- [Good to have] Experience with Change Data Capture (CDC) technologies such as Maxwell or Debezium.
- Bachelor’s or Master’s degree in Computer Science or a related field from a top university.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Angular Ansible APIs Avro Big Data Computer Science Data pipelines Docker E-commerce Elasticsearch ETL GCP Golang Hadoop HDFS Helm Java Kafka MySQL Node.js NoSQL Pipelines Privacy PySpark Python React Spark SQL Streaming Terraform
Perks/benefits: Startup environment
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