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Azure Data Engineer (Strongly need state exp)
Jobs via Dice, Lincoln, Nebraska, United States, 68511
Azure Data Engineer (Strongly need state exp)
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, INFT Solutions inc, is seeking the following. Apply via Dice today!
Job Title:
Cloud Data Engineer
Location:
Lincoln, Nebraska
Position Title:
Cloud Data Engineer
Summary:
Seeking a skilled Cloud Data Engineer to join the Data Office Team in driving the modernization of enterprise analytics. This role will focus on building scalable, high-performance data pipelines and models using modern cloud technologies such as Azure, Databricks, Snowflake, SQL, Python, Scala, and PowerBI. The ideal candidate will bring a strong foundation in data engineering, a passion for solving complex data challenges, and experience working in agile environments.
Key Responsibilities
Design and develop data pipelines and ELT processes to integrate large, diverse datasets from multiple sources.
Build and maintain data models and structures to support enterprise reporting and analytics.
Collaborate with cross-functional teams to deliver BI and analytics solutions that meet business needs.
Optimize data performance by troubleshooting and resolving issues related to large-scale data querying and transformation.
Participate in the design and documentation of data processes, including model development, validation, and implementation.
Contribute to a positive data safety culture by adhering to data governance and security policies.
Core Competencies
Data Structures & Modeling: Design and implement scalable data architectures for structured and unstructured data.
Data Pipelines & ELT: Develop robust extraction, transformation, and loading processes using modern tools and frameworks.
Performance Optimization: Monitor and enhance data performance during development and production.
Required Qualifications
Bachelor's degree in Data Analytics, MIS, Computer Science, or a related field.
5+ years of experience in data engineering or data warehouse development, including dimensional modeling.
5+ years of experience designing and developing ETL/ELT processes using tools like SSIS, Databricks, or Python.
Self-motivated team member who can work independently in a fully remote Agile environment, taking ownership of work and communicating proactively.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Information Technology
Industries Software Development
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, INFT Solutions inc, is seeking the following. Apply via Dice today!
Job Title:
Cloud Data Engineer
Location:
Lincoln, Nebraska
Position Title:
Cloud Data Engineer
Summary:
Seeking a skilled Cloud Data Engineer to join the Data Office Team in driving the modernization of enterprise analytics. This role will focus on building scalable, high-performance data pipelines and models using modern cloud technologies such as Azure, Databricks, Snowflake, SQL, Python, Scala, and PowerBI. The ideal candidate will bring a strong foundation in data engineering, a passion for solving complex data challenges, and experience working in agile environments.
Key Responsibilities
Design and develop data pipelines and ELT processes to integrate large, diverse datasets from multiple sources.
Build and maintain data models and structures to support enterprise reporting and analytics.
Collaborate with cross-functional teams to deliver BI and analytics solutions that meet business needs.
Optimize data performance by troubleshooting and resolving issues related to large-scale data querying and transformation.
Participate in the design and documentation of data processes, including model development, validation, and implementation.
Contribute to a positive data safety culture by adhering to data governance and security policies.
Core Competencies
Data Structures & Modeling: Design and implement scalable data architectures for structured and unstructured data.
Data Pipelines & ELT: Develop robust extraction, transformation, and loading processes using modern tools and frameworks.
Performance Optimization: Monitor and enhance data performance during development and production.
Required Qualifications
Bachelor's degree in Data Analytics, MIS, Computer Science, or a related field.
5+ years of experience in data engineering or data warehouse development, including dimensional modeling.
5+ years of experience designing and developing ETL/ELT processes using tools like SSIS, Databricks, or Python.
Self-motivated team member who can work independently in a fully remote Agile environment, taking ownership of work and communicating proactively.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Information Technology
Industries Software Development
Referrals increase your chances of interviewing at Jobs via Dice by 2x
Get notified about new Data Engineer jobs in Lincoln, NE.
#J-18808-Ljbffr