Job Description

Role: Sr. Data Engineer

Location: Seattle, WA(Remote is okay, but as per the client's policy, a monthly office visit is mandatory)

Type: Contract to Hire

Key Skills: AWS, MDM, Python, SQL, Reltio (not mandatory but it should be good to have)

Responsibilities

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse, etc.
Working knowledge of Master Data Management Reltio preferred
Research, analyze, recommend and select technical approaches for solving exciting and sophisticated development and integration problems
Build and maintain automated methods of orchestrating data flows and products while supervising data quality and the status of related infrastructure
Implement additional project components (API interfaces) for accessibility
Implement secure cloud data solutions which align to privacy and security controls
Enable and support data and analytics capabilities and technologies, ensuring functional specifications meet or exceed established business and functional requirements, technical standards, quality

Qualifications

A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it
Contribute to the overall data platform architecture and evolution
Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures
Experience with Infrastructure-as-code tools such as Cloud Formation and Terraform
Experience in designing and implementing cloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)
Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc.
Proficiency in one or more of the following scripting languages; SQL, Python, Scala, C#, or Go
Solid understanding of scripting languages such as bash or PowerShell
Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors
Must have a background in data engineering - Data Warehouse, ETL/ELT and BI experience
Serve as an authority; envision and integrate emerging data technologies, anticipate new trends to tackle sophisticated business and technical problems
Working experience with various stream analytics technologies
Familiarity with modern engineering practices, including agile development, CI/CD and devops

Canvendor

New Jobs