Sr. Data Engineer-Google Cloud

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

• Participates in the building of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform.  Applies technical knowledge on data modeling and best engineering practices.
• Working as a key team member, delivers results, creating value for the CNA brand, customers, and key internal stakeholders. Works with external (and offshore) resources as required.
• May lead or sub-lead the design, implementation and automation of data pipelines sourcing data from internal and external systems, transforming the data for the optimal needs of various systems and business requirements.
• May lead or sub-lead robust unit testing to ensure deliverables match the design and provides expertise to support subsequent release testing.
• Actively adheres to established quality and reliability standards, and ensures team adheres to the same quality and standards working in an Agile development environment.
• May lead or sub-lead the design of complex physical data models, projects and cloud-based data lake constructs including SQL/NoSQL database systems. May lead or sub-lead the creation of integrated data views based on business or analytics requirements.
• Researches, identifies and implements process improvements that address complex technology gaps. Builds strong knowledge of technology enablers.
• May lead or sub-lead the design and building of data solutions and applications that enable reporting, analytics, data science, and data management.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Drives the evolution of CNA application development processes and standards.
• Applies machine learning to work as applicable.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

Strong knowledge of relational database concepts, ETL/ELT (Informatica IICS preferred), star schema, data modeling.

• Strong data integration design and development, ensuring accuracy and ease of consumption. Strong troubleshooting and problem solving skills.
• Proficient in Python or advanced SQL in a business environment with large-scale, complex datasets.
• Strong communication and interpersonal skills and the ability to work effectively with peers and team members in a highly matrixed environment.
• Preferred experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep. AWS, including, Amazon Redshift, Postgres, Elastic MapReduce a plus.
• Experience with code management tooling such as Github, Concourse, Yaml
• Preferred experience with the insurance industry, its products and services.
• Experience in implementing big data processing technology. Apache Spark preferred.
• Working knowledge of Business Intelligence tools preferred.

Education & Experience

• Bachelor’s degree with Master’s preferred in Computer Science, Information Technology, related discipline or equivalent work experience.
• Typically 5+ years of experience in data, analytics or application development.
• 2+ years of coding proficiency in at least one programming language (Python, Java, SQL).
• Experience using Agile methods preferred.
• Applicable certifications preferred (GCP, Data Engineering).