Careers

Become part of the fast-growing, dynamic Guavus team

Big Data Architect

Gurgaon, India

Minimum Qualifications:

·       Bachelors/ Masters degree in Computer Science or related technical degree.

·       A minimum of 8+ years- experience in a related position, as a Technology Architect providing technical leadership in technology selection.

·       Current hands-on experience required; individual contributors only need apply.

·       Design the technical architecture and make technology selections.

·       Ability to understand business context and make optimum technology choices.

·       Deep understanding of distributed, scalable and highly available architectures.

·       Extensive experience in areas of big data application performance analysis and improvements.

·       Implementation experience in designing & developing streaming and batch data processing solutions.

·       Indepth understanding of challenges in implementing statistical techniques, machine learning algorithms, data mining, text mining.

Desired/Preferred Qualifications:

·       Active open source contributions.

·       Passionate about driving architecture and design consensus across multiple teams.

·       Strong quantitative and qualitative analytical skills in the face of ambiguity.

·       Ability to handle changing priorities and use good judgment when working in stressful situations.

Technology skills:

Minimum Qualifications:

·       Big Data platforms like Hadoop and its eco-system (Spark, Hadoop, Flume, HBase, Hive, Map-Reduce, Oozie, Sqoop, Kafka, Storm and Spark streaming)

·       Data Integration Tools (Talend, Nifi, Logstash, Fluentd)

·       Data Concepts (ETL, near-/real-time streaming, data structures, metadata and workflow management)

·       Firm understanding of Programming/ scripting languages like Python, Java and/or R

Desired/Preferred Qualifications:

·       DevOps Tools (Docker, Kubernetes, Jenkins)

·       Data Governance

·       Data Access and Security

·       NoSQL technologies

·       Graph storage and processing (Janusgraph, GraphX, Graphframes)

·       Cloud Platforms (AWS, Azure, Google Cloud Platform)