Job Location: Gurgaon/Gurugram
Roles and Responsibilities
- AWS based modern data stack built for doing Data exploration from first principles Platform to power flexible Hyper Personalization Scenarios
- Ingestion and Processing systems handling huge scale ( ~4B events, 200 TB Hadoop Cluster, Concurrency of 500K users, all V’s of big data)
Responsibilities:
- Build scalable pipelines for data analysis and transformation
- Designing platforms as consumable data services Come up with efficient, modular and scalable solutions for business and technical problems
- Architect and build near real-time (low latency) infrastructure for segmentation, personalized recommendations, reporting etc.
- Build and execute data mining and modeling activities using agile development techniques
- Leading big data projects successfully from scratch to production
- Appreciate and understand the cloud delivery model and how that affects application solutions – both delivery and deployment
- Solve problems in robust and creative ways and demonstrate solid verbal, interpersonal and written communication skills Handle TBs of data volume Data platform
- Extract and consume data from our live systems to analyze and produce robust 99.999% SLA Big-data environment
- The incumbent will be in the driving seat for innovation and delivery in various exciting tech opportunities, from powering business analytics pipelines to machine learning applications.
Desired Profile:
- Experience of programming in Scala with good understanding of Spark platform.
- Experience in managing data teams working in an operational business analytics environment
- Extensive knowledge in at least one of the programming or scripting languages like Java, Scala,
- Python Good hands-on in big data infrastructure, distributed systems, dimensional modeling, query processing and relational databases
- Should have extensive experience with capturing, managing and processing Big Data (terabytes of data present in web logs, documents, meta apis);
- Excellent communication & analytical skills
- Fluent with Hadoop/Pig/Hive/Storm/SQL databases
- Good to have knowledge: NoSQL solutions like Cassandra/MongoDB/CouchDB, Postgres, Kafka, Redis, ElasticSearch, Spark Streaming or you really want to learn about the
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