Job Location : Bangalore

- 6 days working

- Years of Exp : 8+ Years

- Product-based company/Startup exp : Mandatory

About us : www.olacabs.com

Principal Engineer : Data Platform

Responsibilities :

- Architect, design and build fault-tolerant & scalable big-data platforms and solution primarily based on open source technologies.

- Build solid & auto scalable architecture to address real-time workload for analytical processing, lineage, data governance, and data discoverability use cases.

- Design solutions that involve complex, multi-system integration, across BUs or domains.

- Heavy hands-on coding in the Hadoop ecosystem (Java MapReduce, Spark, Scala, HBase, Hive) and build framework(s) to support data pipelines on streaming applications.

- Work on technologies related to NoSQL, SQL, and In-Memory databases.

- Conduct code-reviews to ensure code quality, consistency and best practices adherence.

- Drive alignment between enterprise architecture and business needs.

- Conduct quick proofs-of-concept (POC) for feasibility studies and take them to the production.

- Work with the architects to standardize data platforms stacks across OLA.

- Lead fast moving development teams using agile methodologies.

- Lead by example, demonstrating best practices for unit testing, test automation, CI/CD performance testing, capacity planning, documentation, monitoring, alerting, and incident response.

- Work with cross-functional team members from Architecture, Product Management, Q/A and Production Operations to develop, test, and release features.

- Be a role model to software engineers pursuing a technical career path in engineering

Must Haves :

- 13+ years of relevant experience with at least 6+ years hands-on coding in the big data domain.

- Should have experience in architecting data ecosystem for streaming data and analytical platforms.

- Expert level experience in building fault-tolerant & scalable big-data platforms and big-data solutions primarily based on the Hadoop ecosystem.

- Expert level experience with Java, Python or Scala programming.

- Expert level experience designing high throughput data services.

- Familiarity with machine learning and AI.

- Experience with Big-Data Technologies (Hive, HBase, Spark, Kafka, Storm, MapReduce, HDFS, Zookeeper, Scylla, Cassandra, Yarn), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.

- Strong spoken and written communication skills.

- B.E/B.Tech/MS in Computer Science (or equivalent).

- Effective listening skills and strong collaboration

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