Spaatech Solutions Incorporated | Azure Cloud Data Engineer | United States | United States | BigDataKB.com | 2023-01-15

Job Location: United States

Job Detail:

 

Join SPAATech and help leading organizations transform their Data driven strategies for growth. Our capabilities and client engagements through active collaborations and value driven operational model to bring an opportunity to grow and advance. Choose SPAATech and embark on an extraordinary career.

Job Description

Data Engineer to optimize our data integration at scale. Inside our Data Integration team, you will be designing pipelines and warehouses to model data from multiple sources that will allow us to derive business insight. Using Azure and other open-source technologies, such as Azure Data Factory and PySpark, you will design and build our next-generation ETL pipelines and data models.

 

Primary Objectives and Responsibilities

ยท       Build data pipelines and python-based ETL tools for acquiring, processing, and delivering data

ยท       Develop data models and schemas in our data warehouse that enable performant, intuitive analysis

ยท       Handle the challenges that come with managing terabytes of data

ยท       Collaborate with business leaders and analysts to define key metrics and build reporting to monitor and understand company performance

ยท       Develop the server applications and APIs that are used by our Data Team

Qualifications

ยท       Bachelorโ€™s degree or higher in Computer Science, Computer Engineering, Information Technology or related field

ยท       Fluent in several programming languages such as Python, R, or Scala

ยท       6+ years of work experience in building ETL pipelines in production data processing and analysis

ยท       Experience designing SQL tables, choosing indexes, tuning queries, and optimizations across different functional environments.

ยท       Hands-on experience writing complex SQL queries and using a BI tool

ยท       Experience with data lakes and designing and maintaining data solutions using Spark and Azure serverless services such as ADF

ยท       Familiarity with data ingestion APIs, data sharing technologies, and warehouse infrastructure and development

Candidate must be authorized to work in the USA. No visa sponsorship available.

No Third party Please.




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