DAS42
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The Principal Consultant (Telecommunications) will be the industry expert for Telecommunication and will work cross-functionally with various teams. Responsibilities include understanding client business objectives, articulating the value of cloud data solutions, creating informative content, researching new service offerings, guiding technical team leaders, and developing consultants.
The Telecommunication Offering Leader will be our industry expert for Telecommunication. This individual will be subject matter expert on cloud data analytics and applications for Telecom businesses. They will work cross functionally with the Consulting, Delivery, Sales, and Marketing teams.
DAS42 is seeking a Junior Data Engineer to join their team and work on developing system engineering, data integrations, data warehouse solutions, ETL pipelines, and business intelligence reporting tools. The ideal candidate will have 2-4 years of work experience in data analytics or data engineering, proficiency in Python, R, SQL, experience with consulting/professional services, and familiarity with visualization tools and cloud ecosystems.
The Sr. Data Engineer at DAS42 will be responsible for developing system engineering, data integrations, and architectures based on client needs. They will work on data warehouse solutions, ETL pipelines, data modeling, and supporting and maintaining clients' data environments. Must have 6 years of experience in data analytics or data engineering, proficiency in scripting language and advanced SQL, consulting experience, and expertise in data warehousing and Snowflake.
The Data Engineer at DAS42 will be responsible for developing system engineering, data integrations, and architectures based on client needs. They will also implement data warehouse solutions, ETL pipelines, and business intelligence reporting tools, develop data models, support clients' data environments, and collaborate on project deliverables within a consulting environment.
The Analytics Consultant at DAS42 is responsible for developing system engineering, data integrations, and architectures based on client needs, implementing data warehouse solutions, and collaborating on project deliverables in a consulting environment. They must have a minimum of 5 years of experience in data analytics or data engineering, proficiency in scripting languages and SQL, and prior experience in a consulting/professional services environment.