Big Data Operations Engineer - Guadalajara, México - Tech Mahindra

Tech Mahindra

Empresa verificada

Guadalajara, México

hace 2 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

DigitalOnUs by Tech Mahindra

At DigitalOnUs by Tech Mahindra, we have a culture of driving positive change, celebrating each moment, and empowering all to Rise drives us to dream, do, and become more.

By living our culture, both as individuals and as a team, we establish and advance our presence as a brand that is global, innovative, and caring.

Our culture also leads the way for us to be and become a Company with a Purpose.

We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers. Each day, we strive to make great come alive. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. Each day, we strive to make great come alive.

Our lemma:
"work smart and play hard"

Our technology partners are SAP, Hashicorp, Google Cloud, AWS, Oracle, SFDC, BMC, HPE, Pega, VMware, Cisco, IBM, Dell EMC, Microsoft and Service Now.

Our Company
We are more than 140,000 employees with presence in more than 90 countries.

Our Digital philosophy focuses on transforming clients' businesses across Products, Services, Business Models and Reimagined Business Processes, leading to new Revenue Opportunities, Enhanced Customer Experience, Operational Efficiency, Reduced Risk, and a better Society.

We look for engineers that demonstrate passion for what they do and develop.

They must be curious, persistent to find the right solutions to resolve complex problems and able to communicate and express ideas properly.

Location:
Guadalajara (able to work from the office 2 or 3 times per week)

Qualifications we are looking for:

+7 years of experience in related area, main skills:

Experience in setting up production
Hadoop clusters with optimum configurations
Drive automation of Hadoop deployments, cluster expansion and maintenance operations
Manage Hadoop cluster, monitoring alerts and notification
Job scheduling, monitoring, debugging and troubleshooting
Monitoring and management of the cluster in all respects, notably availability, performance and security
Data transfer between Hadoop and other data stores (incl relational database)
Set up High Availability/Disaster Recovery environment

-
Debug/Troubleshoot environment failures/downtime

Performance tuning of
Hadoop clusters and
Hadoop Map Reduce routines:
Skills Experience and Requirements
Experience with
Kafka,
SPARK etc
Experience working with
AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis, Dynamodb, and Lambda)
Good knowledge on creation of Volumes, Security group rules, Key pairs, Floating IPs, Images and Snapshots and Deploying Instances on AWS
Experience configuring and/or integrating with monitoring and logging solutions such as syslog,
ELK (Elastic, Logstash, and Kibana)

-
UNIX/Linux systems administration skills, including configuration, troubleshooting and automation

Knowledge of
Airflow, NiFi, Streamsets, etc
Knowledge of container virtualization

Why will you love this job?

Experience working with a remote, global team
Get involved of the entire software development company life cycle
Perform reviews.
Opportunity to learn about technologies
Take courses and certifications
Collaborate with the entire engineering organization to realize our RBAC vision
Play with the latest & greatest technologies on the test automation field
You'll enhance your automation testing expertise
Become part of a highly techsavvy startup that's growing rapidly
There is a wide range of technologies, from programming languages and frameworks to other tools this role will be exposed to.

Your team will:

Make our RBAC vision a reality across the stack
Develop and maintain critical systems related to Authentication and Authorization

What you can expect from us:
What distinguishes us from other teams is the comfortable environment which engenders trust within teams and with our customers. Trust and openness leads to quality, innovation, commitment to deliverables, efficiency and cost-effectiveness for all our customers.