Data Engineer

We are looking for a Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.

RESPONSIBILITIES

• 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 Information Systems, Finance/Mathematics, Computer Science or similar
• 2- 4 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
• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming
• Experience with DevOps models utilizing a CI/CD tool.
• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
• Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred
• Analyze data models