Location: Santa Clara, CA or Tempe, AZ,
New Jersey
Job Type: Full Time
Salary: $Marketvalu per Hour
Experience Desired: 0 - 2 Years
Last Update: Nov 19, 2020 05:23:45 AM
Full Job Description:
Location - Santa Clara, CA or Tempe, AZ
1.
End to end implementation experience in data analytics solutions (data ingestion, processing, provisioning and visualization) for largescale and complex environments
2.
Experience working with data pipelines, distributed computing platforms, cloud platforms, visualization tools, supporting BI and data science consumers, exposure to supporting AIML use cases
3.
Hands on experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development • End to end Cloud solution on AWS (EC2, S3, EMR, Spectrum, Dynamo DB, RDS, Redshift, Glue, Kinesis • Understanding of Design patterns (Lamdba, architecture, Data lake, microservices) • End to end Big data solution on Cloudera/Hortonworks/MapR • Realtime solution using Spark streaming, Kafka Apache pulsarKinesis • Batch solution and distributed computing using ETLELT (SSIS Informatica Talend Spark SQL Spark Data frame AWS Glue ADF) • Distributed compute solution (Spark Storm Hive Impala) • Functional solutions Identify the use cases and define solutions which will result in value revenue savings to customers • Distributed storage and NoSQL storage (Cassandra, Mongo DB, Datastax) • Languages (Python, Scala) Evaluate and recommend alternate architectural patterns, technology stack and components & tool options.
4.
Proficiency in data modelling, for both structured and unstructured data, for various layers of storage
5.
Mentor and lead a data engineering teams to design, develop, test and deploy high performance data analytics solutions
6.
Collaborate with Scrum Master and PMO to organize deliverables into phases and sprints; drive estimation and sizing, contribute actively to planning and scheduling the solution implementation
7.
Define best practices, standards, processes for cloud and data engineering implementation.
8.
Support pursuits and presales activities by providing technical solutioning
9.
Ability to work in ambiguous situations with unstructured problems and anticipate potential issues risks
10.
Experience in handling complex information and presenting it in compelling narratives through business presentations for various audiences
11.
Excellent relationship building and organizational skills
#Dow Technologies and Systems is an equal opportunity employer
#Interested candidate send CV to hr@dowtechie.com
Company Type: Not Specified
Contact Name : Shajahan
Contact Phone: 8622005150
Contact Email :
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