Data Engineer

• Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views . • Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components • Support and troubleshoot the data environment (including periodically on call) • Document technical artifacts for developed solutions • Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships • Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills • Proactive approach to problem solving with effective influencing skills • Familiar with Agile practices and methodologies EDUCATION AND EXPERIENCE REQUIREMENTS • Four year degree in Computer Science or similar • 3 - 8 years of experience in Data Engineering REQUIRED KNOWLEDGE, SKILLS or ABILITIES • Advanced SQL queries, scripts, stored procedures, materialized views, and views • Focus on ELT to load data into database and perform transformations in database • Ability to use analytical SQL functions • Snowflake experience a plus

Desired Candidate Profile • Experience with Mongo or other NoSQL DB platforms • Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modelling, analysis, programming • Experience with DevOps models utilizing a CI/CD tool • Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) • Hands-on with Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred • Analyse data models
Key Skills
• CI/CD ,
• Snowflake,
• Azure DW, or
• Redshift,
• SQL