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Aptus Data LAbs
Aptus Data LAbs cover picture
Founded :
2014
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Aptus Data Labs ("Aptusdatalabs Technologies Private Limited - CIN:U72900KA2014PTC077646") is an innovative Data Engineering and Advanced Analytics Company offering analytical solutions and consulting services that help businesses make quick, cogent, data-driven decisions, essentially required to sustain and grow in tandem with evolving industry trends. We help enterprises look beyond business data and gain industry-leading insights to assure them about Big Business Decisions. We leverage upon primary data, data management technologies, Data Science and Decision Science, and combine them with apt catalysts like domain-specific Key Performance Indicators (KPIs), mathematical algorithms and "Aptus Accelerators"​ to identify risks and key business opportunities with better forecasts. Empowered with a strong engineering & technology work culture, Aptus Data Labs encompasses a mission-focused team of data analysts, data scientists, business SMEs, architects and engineers, who cater to a wide range of clientele across various industry domains such as Healthcare & Life Sciences, Retail & Consumer Industries, Manufacturing, Energy & Utilities and Social Intelligence. Our team of talented go-getters, who truly understand the technology and business in the analytics space, are capable of handling all types of enterprise dataset to extrapolate key business values using descriptive, predictive and prescriptive capabilities.
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Merlin Metilda

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Jobs at Aptus Data LAbs

Aptus Data LAbs
at Aptus Data LAbs
1 recruiter
Merlin Metilda
Posted by Merlin Metilda
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Bengaluru (Bangalore)
5 - 10 yrs
₹6L - ₹15L / yr (ESOP available)
Data engineering
Big Data
Hadoop
Data Engineer
Apache Kafka
+5 more

Roles & Responsibilities

  1. Proven experience with deploying and tuning Open Source components into enterprise ready production tooling Experience with datacentre (Metal as a Service – MAAS) and cloud deployment technologies (AWS or GCP Architect certificates required)
  2. Deep understanding of Linux from kernel mechanisms through user space management
  3. Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins).
  4. Using Monitoring tools (local and on public cloud platforms) Nagios, Prometheus, Sensu, ELK, Cloud Watch, Splunk, New Relic etc. to trigger instant alerts, reports and dashboards.  Work closely with the development and infrastructure teams to analyze and design solutions with four nines (99.99%) up-time, globally distributed, clustered, production and non-production virtualized infrastructure. 
  5. Wide understanding of IP networking as well as data centre infrastructure

Skills

  1. Expert with software development tools and sourcecode management, understanding, managing issues, code changes and grouping them into deployment releases in a stable and measurable way to maximize production Must be expert at developing and using ansible roles and configuring deployment templates with jinja2.
  2. Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents.
  3. Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing
  4. Strong understanding and must have experience:
  5. Apache spark framework, specifically spark core and spark streaming, 
  6. Orchestration platforms, mesos and kubernetes, 
  7. Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs
  8. Core presentation technologies kibana, and grafana.
  9. Excellent scripting and programming skills (bash, python, java, go, rust). Must have previous experience with “rust” in order to support, improve in house developed products

Certification

Red Hat Certified Architect certificate or equivalent required CCNA certificate required 3-5 years of experience running open source big data platforms

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