Job Description

The Senior Cloud Data Consultant will be a supply chain analytics leader with experience in end-to-end ETL processes involving cloud data warehouses. Applicants with experience in data pipelines, cloud transformation, data migration and ingestion are preferred. Experience in BigQuery, Snowflake, Azure, or AWS is also a plus. The ideal applicant will have experience interfacing with clients and implementing holistic cloud-based data solutions.

Agillitics is a Supply Chain focused consultancy that assists clients in everything from data migration and visualizations to network design. We combine data science with supply chain expertise to reduce data complexity so clients can make smarter, faster, and more profitable decisions.

Duties

  • Lead the design and development of multi-phased cloud data strategies
  • Architecting the design of cloud data warehouses including selecting software solutions and building a development plan
  • Manage a team to complete the planned solution
  • Serve as a subject matter expert in data solutions and tools for customers moving data from on-premise to the cloud
  • Deliver on the technical scope of projects & demonstrate critical thinking
  • Continuously evaluate and test new technologies to ensure we continue to provide the best guidance to our customers

Skills / Qualifications

  • 5+ years of data engineering and/or data warehousing experience in a consulting environment
  • 2+ years of deep experience building cloud data solutions (Azure, AWS, GCP, Snowflake) and migrating from on-prem to cloud
  • Deep experience designing and deploying end to end solutions with a cloud platform’s analytic services
  • Experience with big data application development and/or with cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, Azure SQL DW, BigQuery)
  • Proficient in a relevant data programming languages (Python, R, SQL)
  • Experience in with ETL tools such as Alteryx, SSIS, Data Factory, etc.
  • Bachelor's Degree is required; BS and/or MS in engineering, computer science, or analytics discipline is preferred

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