Data Engineer @ Cardinal Health

Job Description

Department Overview:

augmented Intelligence (augIntel) builds automation, analytics and artificial intelligence solutions that drive success for Cardinal Health by creating material savings, efficiencies and revenue growth opportunities. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

Job Overview:

Designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with technologies like Spark, Cloud DataProc, Cloud Dataflow, Apache Beam, Cloud BigQuery, Cloud PubSub, Cloud Functions, Airflow.

Responsibilities:

• Designing and implementing data transformation, ingestion and curation functions on GCP cloud using GCP native or custom programming
• Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Python. Optimizing data pipelines for performance and cost for large scale data lakes.

Desired Qualifications:

• Bachelor's degree preferred or equivalent work experience.
• 5+ years of engineering experience in , Data Analytics and Data Integration related fields.
• 3+ years of experience writing complex SQL queries, stored procedures, etc.
• 1+ years of hands-on GCP experience in Data Engineering and Cloud Analytics solutions.
• Experience in designing and optimizing data models on GCP cloud using GCP data stores such as BigQuery.
• Agile development skills and experience.
• Experience with CI/CD pipelines such as Concourse, Jenkins.
• Google Cloud Platform certification is a plus.

Perks and benefits

Variable pay, WiFi reimbursement, Cab facilities, shift allowance (1PM-10PM)

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Keyskills:   Data Engineering Data Pipeline ETL Python SQL