Data Engineer

Roles and Responsibilities 

• 8+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
  
• BE/Masters in computer science or equivalent is required
  

• Prior experience with CRM systems (e.g. Salesforce) is desirable
  
• Experience building analytical solutions to Sales and Marketing teams.
  
• Should have experience working on Databricks ,Airflow , Redshift , Snaplogic .
  
• Experience with very large-scale data warehouse and data engineering projects.
  
• Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
  
• Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
  
• Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc.
  
• Solid experience in one or more programming languages for processing of large data sets, such as Python, Scala.
  
• Ability to create data models, STAR schemas for data consuming.
  
• Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and working with users in resolving issues