Job Title - Data Engineer
Duration - 6 months Contract to begin with
Project Location - Bellevue, WA (Hybrid)
Job Description:
As a Data Engineer on the Client Marketing Insights team, your pivotal role will revolve around designing, building, and maintaining robust data pipelines and infrastructure to drive data-driven insights. Core responsibilities include architecting scalable and fault-tolerant pipelines to extract, transform, and load data from various sources into data warehouses or lakes. Leveraging cutting-edge tools and technologies, you'll implement ingestion, transformation, and integration processes, ensuring stringent data quality through validation, cleansing, and deduplication. You will be developing and supporting the analytic technologies that give our customers timely, flexible and structured access to their data. You will be responsible for designing and implementing a platform using third-party and in-house reporting tools, modeling metadata, building reports and dashboards using distributed systems. You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architecture, code reviews, source control management, continuous deployments, testing, and operational excellence - Knowledge of distributed systems as it pertains to data storage and computing
- Experience with SQL
- A good candidate can partner with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies.
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience building world-class data environments with a high emphasis on data quality and data security
- Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
