Job description

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 Qualifications:

  • 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:

Mandatory:

  • Advanced SQL queries, scripts, stored procedures, materialized views, and views.
  • Focus on ELT to load data into the database and perform transformations in the database.
  • Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift) is a required.
  • Data modeling, analysis, and programming (Python) are a must.
  • Talend, Apache Airflow, Azure Data Factory, Control - M or any orchestration tools.


Good to have:

  • Experience with DevOps models utilizing a CI/CD tool.
  • Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
  • Analyze data models

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