Senior Data Engineer - Contech Systems

Title: Sr. Data Engineer
Duration: 6 Months Contract
Location: Remote

Job Description:
You will be part of the team who is focused on building a cutting-edge data analytics platform to support reporting requirements for the business. As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation.
This is a fully remote role based in the United States. Your counterpart team is located in Dublin, Ireland office. While there is no requirement to work in shift hours, there might be an occasional call with Dublin team which can require flexible working.

Primary Responsibilities:
• Create & maintain data pipelines using Azure & Snowflake as primary tools
• Create SQL Stored procs, Macros to perform complex transformation
• Creating logical & physical data models to ensure data integrity is maintained
• CI CD pipeline creation & automation using GIT & GIT Actions
• Tuning and optimizing data processes
• Design and build best in class processes to clean and standardize data
• Code Deployments to production environment, troubleshoot production data issues
• Modelling of big volume datasets to maximize performance for our BI & Data Science Team
• Create Docker images for various applications and deploy them on Kubernetes

Required Qualifications:
• Computer Science bachelor's degree or similar
• Min 3-6 years of industry experience as a Hands-on Data engineer
• Excellent communication skills
• Excellent knowledge of SQL, Python
• Excellent knowledge of Azure Services such as – Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault etc.
• Excellent knowledge of Snowflake - Architecture, best practices
• Excellent knowledge of Data warehousing & BI Solutions
• Excellent Knowledge of change data capture (CDC), ETL, ELT, SCD etc.
• Knowledge of CI CD Pipelines using GIT & GIT Actions
• Knowledge of different data modelling techniques such as Star Schema, Dimensional models, Data vault
• Hands on experience on the following technologies:

• Previous experience with Relational Databases (RDBMS) & Non- Relational Database
• Analytical and problem-solving experience applied to a Big Data datasets
• Good understanding of Access control and Data masking
• Experience working in projects with agile/scrum methodologies and high performing team(s)
• Exposure to DevOps methodology
• Data warehousing principles, architecture and its implementation in large environments
• Very good understanding of integration with Tableau

Preferred Qualifications:
• Design and build data pipelines (in Spark) to process terabytes of data
• Very good understanding of Snowflake integration with data visualization tool such as Tableau
• Orchestrate in Airflow the data tasks to run on Kubernetes/Hadoop for the ingestion, processing and cleaning of data
• Terraform knowledge and automation
• Create real-time analytics pipelines using Kafka / Spark Streaming
• Work on Proof of Concepts for Big Data and Data Science
• Understanding of United States Healthcare data.