Role: AWS Data Engineer
Location: Remote (Must be in EST and CST only)
Note: Looking for an AWS Data Engineer with strong Datawarehouse, Data Lake and python scripting along with AWS services(Glue, AWS CloudFormation Template, Redshift Cluster and Lambda) experience.
Job Description:
- Should have exposure in AWS Environment.
- Data Engineer will be pulling the data from cloud and putting it to into Datalake and Datawarehouse
- Experience with Glue, AWS CloudFormation Template, Redshift Cluster and Lambda
- Also Ingesting and Pulling data from different data sources and putting it to datalake
- Experience with Python Scripting
- Experience with BI Tools Tableau/PowerBI etc..
- Experience with Advanced SQL Queries.
- APIs experience is needed here.
- No experience with Spark or Pyspark is not needed here.
- Ingesting and Pulling data from different data sources and putting it to datalake
- Experience with data warehouse, data lake, and enterprise big data platforms.
- Should have at least 3-7 years of related work experience.
Must Have:
- AWS Data Engineering
- Experience with Glue, AWS CloudFormation Template, Redshift Cluster and Lambda
- Data warehouses(ETL/Informatica), Data Lake, and Enterprise Big Data Platforms.
- Python Scripting
- BI Tools Tableau/PowerBI
- Advanced SQL Queries
- Experience with APIs
Nice to have:
- Metadata management, data modeling, and related tools experience would be a plus.
- Fintech/Mortgage/BFSI background would be a plus.
Looking for an AWS Data Engineer with strong Datawarehouse, Data Lake and python scripting along with AWS services(Glue, AWS CloudFormation Template, Redshift Cluster and Lambda) experience. Candidate should be in EST or CST only comfortable working in EST.
Background Check :Yes