Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

Tools in this posting

AWS
Docker
Elasticsearch
MongoDB
NoSQL
Spark
Python
Hadoop
Google Cloud (GCP)
Kubernetes

Source

- It involves large scale text data processing, event driven data pipelines, in-memory computations, optimization considering CPU core to network IO to disk IO. - You will be using cloud native services in AWS and GCP. Who Are You?

- Understanding of how data models, sharding and data location strategies for distributed data stores in large scale high-throughput and high-availability environments and their effect in non-structured text data processing - Experience with running scalable & high available systems with AWS or GCP. Good to have:

Good to have: - Experience with Docker / Kubernetes - Exposure with CI/CD

- Expertise with a variety of data processing systems, including streaming, event, and batch (Spark, Hadoop/MapReduce) - Understanding of at least one NoSQL stores like MongoDB, Elasticsearch, HBase - Understanding of how data models, sharding and data location strategies for distributed data stores in large scale high-throughput and high-availability environments and their effect in non-structured text data processing

- Minimum 3 years of experience to build services and pipelines using Python. - Expertise with a variety of data processing systems, including streaming, event, and batch (Spark, Hadoop/MapReduce) - Understanding of at least one NoSQL stores like MongoDB, Elasticsearch, HBase

- 7+ years of hands-on experience in Software Development with a focus on big data and large data pipelines. - Minimum 3 years of experience to build services and pipelines using Python. - Expertise with a variety of data processing systems, including streaming, event, and batch (Spark, Hadoop/MapReduce)

Job description

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Job Description

What will you do?

To help us go to the next level we are looking to onboard a hands-on SME in leveraging big data tech to solve the most complex data issues. You will spend almost half of time with hands-on coding.
It involves large scale text data processing, event driven data pipelines, in-memory computations, optimization considering CPU core to network IO to disk IO.
You will be using cloud native services in AWS and GCP.

Who Are You?

Solid grounding in computer engineering, Unix, data structures and algorithms would enable you to meet this challenge.
Designed and built multiple big data modules and data pipelines to process large volume.
Genuinely excited about technology and worked on projects from scratch.

Must have:

7+ years of hands-on experience in Software Development with a focus on big data and large data pipelines.
Minimum 3 years of experience to build services and pipelines using Python.
Expertise with a variety of data processing systems, including streaming, event, and batch (Spark, Hadoop/MapReduce)
Understanding of at least one NoSQL stores like MongoDB, Elasticsearch, HBase
Understanding of how data models, sharding and data location strategies for distributed data stores in large scale high-throughput and high-availability environments and their effect in non-structured text data processing
Experience with running scalable & high available systems with AWS or GCP.

Good to have:

Experience with Docker / Kubernetes
Exposure with CI/CD
Knowledge of Crawling/Scraping

Additional Information

Entire Work From Home
Birthday Leave
Remote Work

Company Description

At DemandMatrix, our vision is to disrupt the $100 billion sales and marketing intelligence industry by using domain knowledge, machine learning and AI. Fortune 100 companies like Microsoft, Google, Adobe, Amazon, IBM trust us to identify their next customer.

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Source & posting history

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Pay: No pay amount identified in the saved description.
Location & working pattern: Pune, MH, India
- Birthday Leave - Remote Work Company Description
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

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