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12/02 (ANI Technologies)
HR at OLA Cabs

Views:99 Applications:12 Rec. Actions:Recruiter Actions:0

OLA - Principal Engineer - Data Platform (13-15 yrs)

Bangalore Job Code: 891683

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


The apply button will redirect you to an external URL, please apply there as well.

Women-friendly workplace:

Maternity and Paternity Benefits

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