Live opening · Posted 18 days ago
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Description supplied by the original job listing.
Responsibilities:
Develop, maintain, and evolve core components of Blinkit's Data Platform ecosystem.
Partner with product, analytics, and engineering teams to solve complex business problems using data.
Design and operate batch and real-time data ingestion workflows and contribute to the data lake.
Improve the reliability, performance, and scalability of data infrastructure and services.
Enable teams to identify, log, and consume high-quality data for analytics and decision-making.
Define, contribute to, and enforce shared data standards and best practices across Blinkit.
Support data producers and consumers in adopting and effectively using the Data Platform.
Requirements:
Relevant experience building or working with data systems and streaming technologies, across internships, early-career, or industry roles.
Strong experience with Spark, Kafka, Flink, Debezium, and workflow schedulers such as Airflow.
Hands-on experience with Kubernetes, Trino, and real-time OLAP systems like Apache Pinot.
Good understanding of data architecture paradigms such as Lambda and Kappa architectures.
Experience with open table formats like Apache Iceberg, Apache Hudi, or Delta Lake.
Proficiency in at least one programming language; Python and/or Go preferred.
Solid computer science fundamentals, including data structures, algorithms, and system design.
Ability to build user-focused solutions with a product and customer-first mindset.
Comfortable working in ambiguous environments and collaborating across teams.
A portfolio of work to showcase (GitHub, Bitbucket, projects, etc. ).
Bachelor's and/or Master's degree in Computer Science, or equivalent practical experience.
Experience
3-5 yrs
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