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.