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*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 : [email protected] Hangouts : [email protected] -- You received this message because you are subscribed to the Google Groups "Android Developers" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/android-developers/CAEgW9Yyd52fRcPL-0yjpPJBCzOuQdxnsbXtdS7cKVT5KjEsWLQ%40mail.gmail.com.
