Full Job Description
Basic Qualifications:
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
Other Qualifications:
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
