Job description

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.


  • 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


  • Four year degree in Information Systems, Finance/Mathematics, Computer Science or similar
  • 2- 4 years of experience in Data Engineering


  • 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

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