Data Engineer

Data Engineer at Aptus Data LAbs · Bengaluru (Bangalore) · 5 - 10 years · ₹6L - ₹15L / yr (ESOP available) · Profitable · Posted 12 Apr 2021

Data Engineer

at Aptus Data LAbs

Posted by Merlin Metilda

5 - 10 yrs

₹6L - ₹15L / yr (ESOP available)

Bengaluru (Bangalore)

Skills

Data engineering

Big Data

Hadoop

Data Engineer

Apache Kafka

Apache Spark

Python

Elastic Search

Kibana

Cisco Certified Network Associate (CCNA)

Roles & Responsibilities

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)
Deep understanding of Linux from kernel mechanisms through user space management
Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins).
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.
Wide understanding of IP networking as well as data centre infrastructure

Skills

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.
Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents.
Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing
Strong understanding and must have experience:
Apache spark framework, specifically spark core and spark streaming,
Orchestration platforms, mesos and kubernetes,
Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs
Core presentation technologies kibana, and grafana.
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

Roles & Responsibilities

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)
Deep understanding of Linux from kernel mechanisms through user space management
Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins).
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.
Wide understanding of IP networking as well as data centre infrastructure

Skills

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.
Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents.
Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing
Strong understanding and must have experience:
Apache spark framework, specifically spark core and spark streaming,
Orchestration platforms, mesos and kubernetes,
Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs
Core presentation technologies kibana, and grafana.
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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About Aptus Data LAbs

Founded :

2014

Type :

Product

Size :

20-100

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.