Description


 

Role req understanding ( CSM put in your sentence pls )Data engineerning
Candiadte must have below skills
SQL,
AWS,
Python
and Spark, Hive, HDFS, MR, Apache Kafka/AWS Kinesis

Candiadte should have Development exp Mandatory
Experience details Min Max5 to 7 years
 Gurgaon
Shift timingsGeneral
Working days and modeHybrid - (1 or 2 days from office rest from home
  
Notice PeriodImmediate only
Project Duration12 months
preferred and mandatory skillSame as mentioned above
Which project application candidate will be working and any selling point of sameClient project
No of Positions1
When client want to Onboard resourcesimmediate
Interview process2 Vc round
System requirementClient will sahre
Requirement TypeSubcon
  
Any preferences client needs ( Male or Female) as per client or both okNA
ANY IF BUT criteria beside above if client has given updateNeed to upload profiles on thier portal

• 5-7 years of experience in Solution, Design and Development of Cloud based data models, ETL Pipelines and infrastructure for reporting, analytics, and data science. • Experience working with Spark, Hive, HDFS, MR, Apache Kafka/AWS Kinesis • Experience with version control tools (Git, Subversion) • Experience using automated build systems (CI/CD) • Experience working in different programming languages (Java, python, Scala) • Experience working with both structured and unstructured data. • Strong proficiency with SQL and its variation among popular databases • Ability to create the data model from scratch. • Experience with some of the modern relational databases • Skilled at optimizing large complicated SQL statements • Knowledge of best practices when dealing with relational databases • Capable of configuring popular database engines and orchestrating clusters as necessary • Ability to plan resource requirements from high level specifications • Capable of troubleshooting common database issues. • Experience of Data Structures and algorithms • Knowledge of different databases technologies (Relational, NoSQL, Graph, Document, Key-Value, Time Series, etc…). This should include building and managing scalable data models. • Knowledge of ML model deployment • Knowledge of Cloud based platforms (AWS) • Knowledge of TDD/BDD • Strong desire to improve upon their skills in software development, frameworks, and technologies

Key Skills
Education

Any Graduate

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