Data Engineer (GCP - Google Cloud Platform)

Job Title :: GCP Data Engineer Location :: Lisle, IL or Columbia, MD (4 Days in Office) Duration :: 6 months Contract to hire or complete Full time. Responsibilities • Work closely with various business, IT, Analyst and Data Science groups to collect business requirements. • Design, develop, deploy and support high performance data pipelines both inbound and outbound. • Model data platform by applying the business logic and building objects in the semantic layer of the data platform. • Optimize data pipelines for performance, scalability, and reliability. • Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. • Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. • Document the design and support strategy of the data pipelines • Capture, store and socialize data lineage and operational metadata • Troubleshoot and resolve data engineering issues as they arise. • Develop REST APIs to expose data to other teams within the company. • Mentor and guide junior data engineers. Education • Required - Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field • Nice to Have - Master’s Degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field Work Experience • Minimum 6 years of experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics • 2 years of experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Knowledge, Skills and Abilities • Expert knowledge on SQL and Python programming • Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. • Experience in tuning queries for performance and scalability • Experience in Real Time Data ingestion using GCP Pub Sub, Kafka, Spark or similar. • Excellent organizational, prioritization and analytical abilities • Have proven experience working in incremental execution through successful launches. • Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. • Experience working in agile environment.