What are the responsibilities and job description for the Snowflake Data Engineer Developer position at Intellibus?
Are you a Snowflake Data Engineer working at a Large Financial Institution and being told by your leadership that you are too hands on or detail oriented or think and work like a start-up?
Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!
We are looking forward to you joining our Platform Engineering Team.
Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.
We are looking for Engineers who can
- Model Data in Relational, Graph, & Columnar Databases
- Migrate Data between DBs w/ different Data Models using Data Ingestion Pipelines
- Clean & Transform Data based on Business Requirements for New Features
- Setup Role-Based Access Control at the Data (Model) & Infrastructure Level
- Add Data Masking, Encryption, and Tokenization to specific Data Model Attributes
- Build ECreateLT Pipelines Orchestration Tasks in Cloud & On-Prem
- Use Data Wrangling Best Practices to Support Data Analyst Use Cases
- Setup a S3 Bucket in AWS for Large Object Storage w/ Athena for Querying
- Setup & Configure EC2 Instances In AWS to run Data Pipelines & Databases
- Configure External Stages within Snowflake to Interop between On-Prem & AWS
- Configure SNS to Send Events for Real Time Updates on Data Pipelines
- Configure SQS to Queue Data Processing Tasks
- Build Data Streaming from a Database to Kafka w/ MSK Kafka Connect
- Build Data Streaming from a Database into DataBricks Delta Lake
We work closely with
- Snowflake
- Databricks
- Data Lake
- SQL
- ETL
- Data Wrangling
- Talend
- Jasper
- Python
- Data Warehousing
- Data Modeling
- ECreLT
- RBAC
- Data Migration
- Data Masking
- Tokenization
- Database Migration
Our Process
- Schedule a 15 min Video Call with someone from our Team
- 4 Proctored GQ Tests (< 3 hours)
- 30-45 min Final Video Interview
- Receive Job Offer
If you are interested in reaching out to us, please apply and our team will contact you within the hour.
