Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infinite Computer Solutions (ICS), is seeking the following. Apply via Dice today!
Description:
Targeted Years of Experience: 5-7 years
Responsibilities:
5+ years of Experience in designing, building, and deploying enterprise-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Splunk etc.)
5+ years of programming experience in python and java including 2+ years of strong programming experience using Scala
Exposure to Google Cloud Platform and scaled agile based product development methodology is preferred
3+ years of proven experience in collaborating with data architects, data scientists and enterprise platform team in building, deploying and managing models in production
Knowledge on Jenkins, Jira, Git etc.
DESIRED SKILLS:
Experience working in Google Cloud Platform based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, etc.
Demonstrated mastery in Google BigQuery
Strong knowledge on Google cloud storage Data lifecycle management
EDUCATION/CERTIFICATIONS:
Please indicate whether education and/or certifications are required or desired.
Description:
Targeted Years of Experience: 5-7 years
Responsibilities:
- Design application code, implement technical solutions, and configure applications in various environments in response to business problems in close collaboration with Architects, Business Analysts and Change Partners.
- Manage Hadoop, NoSQL, and/or MPP infrastructure supporting data.
- Write applications to solve analytical problems.
- Code, test, release, and support Big Data.
- Help in the design and build of the data platform over Big Data technologies.
- Solve big data engineering problems.
- Analyze, recommend, and implement data technologies for the platform.
- Involved in case studies about Big Data.
- Responsible for efficient deliveries.
- Work with others to propose the best technical solutions.
- Help design the best backend data warehouse platform to support the capacity and performance.
- Participate in the proof of concept application.
5+ years of Experience in designing, building, and deploying enterprise-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Splunk etc.)
5+ years of programming experience in python and java including 2+ years of strong programming experience using Scala
Exposure to Google Cloud Platform and scaled agile based product development methodology is preferred
3+ years of proven experience in collaborating with data architects, data scientists and enterprise platform team in building, deploying and managing models in production
Knowledge on Jenkins, Jira, Git etc.
DESIRED SKILLS:
Experience working in Google Cloud Platform based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, etc.
Demonstrated mastery in Google BigQuery
Strong knowledge on Google cloud storage Data lifecycle management
EDUCATION/CERTIFICATIONS:
Please indicate whether education and/or certifications are required or desired.
- provided by Dice
Job Summary
| Job ID | : | 174 |
| Company | : | Dice |
| Location | : | Worldwide |
| Job Type | : | Full-time |
| Primary Tag | : | Software Development |
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