At least 5+ years of experience as a Data Engineer Hands-on and in-depth experience with Star / Snowflake schema design, data modeling, data pipelining and MLOps. Strong background in streaming technologies such as Kafka, AWS MSK, AWS Kinesis, AWS Data Firehose and Snowpipe programming Expertise for CloudOps setting up infrastructure using tools like Terraform and Pulumi Experience in Data Warehouse technologies (e.g. CDC in Snowflake, AWS Redshift, etc) Experience in AWS data pipelines (Lambda, AWS glue, Step functions, etc) Strong experience in building ETL pipelines Proficient in SQL At least one major programming language (Python / Java) Experience with Data Analysis Tools such as Looker or Tableau Experience with Pandas, Numpy, Scikit-learn, and Jupyter notebooks preferred Familiarity with Git, GitHub, and JIRA. Sound understanding of delta loading Ability to locate & resolve data quality issues Ability to demonstrate end to ed data platform support experience
Preferred Domain : Private Equity Domain / Venture Capital Domain