Senior Data Engineer
2 weeks ago
Requirement Details
Position: Senior Data Engineer
Location: Detroit, MI (Hybrid)
Duration: Long-Term
Description:
- Experience in developing data architectures including data ingestion, pipeline design, data mining and advanced data processing frameworks.
- Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping.
- Software Configuration Management, Version Control, Build and Release management, change management, Cloud Integration using Terraform Enterprise, Cloud Formation and In-depth knowledge of DevOps management methodologies and production deployment Configurations.
- Must have working experience on AWS cloud building data lake from scratch, data migrations (DMS) from legacy systems into cloud using PaaS, IaaS, SaaS, Db as a service using S3, EMR, Step Function, EC2, RDS-, Lambda, Glue, Athena, KMS, EKS, Fargate, CloudWatch, SQS, VPC, Sage Maker, Kinesis, Macie, Quick sight etc.
- Well versed in optimizing ETL workflows and curate data flows using Azure cloud services like data lake storage, data factory, Azure HDInsight and Databricks and Writing SQL queries against Snowflake.
- Experience with IAM requirements for cloud - based services, including strategies, open standards, and encryption. Used to improve manageability, access governance, provisioning, information security, and privacy.
- Advanced working on TSQL and HiveQL business logic using Triggers, Indexes, Views, and Stored procedures. Excessively involved in performance tuning with Redshift, SQL Server, and Oracle.
- Experience in using agile approaches, Test-Driven Development and Scrum methodology.
- Implementing analytical applications using QlikView, Tableau and structured datasets using Alteryx and implemented ML algorithms using Python with appropriate model selection techniques.
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