Hi ,

Please share your profile  to *sekhar.no...@3sbc.com*
<sekhar.no...@3sbc.com>



*Data and Devops Engineer *

*Houston * *, TX*

*6+ Months*





*Visa : USC , GC and H4 EAD*



*Job Description ** for Data/Devops Engineer : *



·         Bachelor's Degree preferred.

·         Create and maintain optimal data pipeline architecture,

·         Assemble large, complex data sets that meet functional /
non-functional business requirements.

·         Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing
infrastructure for greater scalability, etc.

·         Build the infrastructure required for optimal extraction,
transformation, and loading of data from a wide variety of data sources
using SQL and AWS ‘big data’ technologies.

·         Build analytics tools that utilize the data pipeline to provide
actionable insights into customer acquisition, operational efficiency and
other key business performance metrics.

·         Work with stakeholders including the Executive, Product, Data and
Design teams to assist with data-related technical issues and support their
data infrastructure needs.

·         Keep our data separated and secure across national boundaries
through multiple data centers and AWS regions.

·         Create data tools for analytics and data scientist team members
that assist them in building and optimizing our product into an innovative
industry leader.

·         Work with data and analytics experts to strive for greater
functionality in our data systems.

·         Qualifications for Data Engineer

·         Advanced working SQL knowledge and experience working with
relational databases, query authoring (SQL) as well as working familiarity
with a variety of databases.

·         Experience building and optimizing ‘big data’ data pipelines,
architectures and data sets.

·         Experience performing root cause analysis on internal and
external data and processes to answer specific business questions and
identify opportunities for improvement.

·         Strong analytic skills related to working with unstructured
datasets.

·         Build processes supporting data transformation, data structures,
metadata, dependency and workload management.

·         A successful history of manipulating, processing and extracting
value from large disconnected datasets.

·         Working knowledge of message queuing, stream processing, and
highly scalable ‘big data’ data stores.

·         Strong project management and organizational skills.

·         Experience supporting and working with cross-functional teams in
a dynamic environment.

·         We are looking for a candidate with 5+ years of experience in a
Data Engineer role, who has attained a Graduate degree in Computer Science,
Statistics, Informatics, Information Systems or another quantitative field.
They should also have experience using the following software/tools:

·         Experience with big data tools: Hadoop, Spark, Kafka, etc.

·         Experience with relational SQL and NoSQL databases, including
Postgres and Cassandra.

·         Experience with data pipeline and workflow management tools:
Azkaban, Luigi, Airflow, etc.

·         Experience with AWS cloud services: EC2, EMR, RDS, Redshift

·         Experience with stream-processing systems: Storm,
Spark-Streaming, etc.

·         Experience with scripting languages: Python

·         Ensure performance and availability of AWS infrastructure

·         Deploy and operate Kubernetes cluster according to business
scenarios

·         Response to incidents promptly and identify potential issues

·         Keep learning technologies and continuously optimize system
security, performance, availability and scalability

·         AWS and Kubernetes experience is a must

·         Strong experience in automating Continuous Integration (CI) and
Continuous Deployment (CD)

·         Familiar with Kubernetes arch and component, have good experience
in large-scale cluster operation and maintenance

·         Familiar with the operating mechanism and principle of Kubernetes

·         Familiar with Kubernetes network model and disaster recovery

·         Familiar with Istio / Helm operator design and workflow (plus)

·         Experience with Docker runtime, Linux kernel

·         Experienced in deploying, operating, monitoring, optimizing and
troubleshooting large scale infrastructure

·         Proficient in shell scripting, Python, etc

·         Experience with Amazon EKS or other Kubernetes services







Thanks and regards,

Sekhar

Recruiter



An E-Verified Company

Office :281-823-9222 EXT:512

Emalil : sekhar.no...@3sbc.com

Hangouts : sekhar.recruit...@gmail.com

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