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IT Staffing & Recruitment Services
Job Title: Sr. Bigdata Developer
Job Location: Temple Terrace-FL-USA (Remote till COVID-19)
Duration: 12+ Contract
Exp: 9+ Years
Description:
Looking for a Senior Big Data Data Engineer to work with a small team responsible for building a Big Data solution that will enable operations for a large enterprise environment. Must be able to design, build and maintain Enterprise Level Data Pipe-Lines utilizing the tools available within Big Data Eco-System. As a Senior Big Data Engineer - You will work on Advanced Analytics using Big Data technologies such as Hadoop and Data Warehousing.
- Build analytical solutions to enable Data Scientist by manipulating large data sets and integrating diverse data sources.
- Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
- Perform exploratory and targeted data analyses using descriptive statistics and other methods.
- Use complex algorithms to develop systems & applications that deliver business functions or architectural components.
- Typical duties will include the following:
- Work closely with the data scientists, and database and systems administrators to create data solutions.
- Follow best practices on design and implementation to aid in company-wide data governance.
- Improve existing data pipelines by simplifying and increasing performance.
- Design, build, and deploy new data pipelines within Big Data Eco-Systems.
- Documents new/existing pipelines, Data Sets and Data Sets.
- Abides by department development standards and SOP's.
- Attends all department meetings.
- All other duties as assigned.
- Keeps updated on latest technologies relevant to position’s duties.
- Has great knowledge of commonly used software concepts and design.
- Great knowledge of the development lifecycle.
- Keeps management updated on projects and assigned work.
You will need to have:
- Bachelor’s degree or six or more years of work experience.
- Six or more years of relevant work experience.
Even Better If You Have:
- Experience of designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Splunk etc).
- Experience with various noSQL databases (Hive, MongoDB, Couchbase, Cassandra, Neo4j).
- Experience with analytic or feature engineer programming (python or scala or java).
- Experience implementing open source frameworks & exposure to various open source & - package software architectures (AngularJS, ReactJS, Node, Elasticsearch, Spark, Scala, - Splunk, Apigee, and Jenkins etc.).
- Experience troubleshooting JVM-related issues.
- Experience with SQL databases and Change Data Capture.
- Experience and strategies to deal with mutable data in Hadoop.
- Experience with Stream sets.
- Experience of Agile and DevOps methodologies.
- Relies on limited experience and judgment to plan and accomplish goals.
- Works under general supervision.
- Experience in full development life cycle and significant experience in delivering applications and architecture services.
- Experience in data visualization tools like Kibana, Grafana, Tableau and associated architectures.
- Experience evaluating and implementing cutting-edge digital technologies.
- Experience with Cloud technologies (AWS, GCP, PCF, Docker, Kubernetes and application migration.
Recruiter Details
Name: John
Phone: (469) 331 6595
Email: John@aptitps.com
LinkedIn: