reputed company Engineer- Azure Data Services
Job Description
Position Title: Data Engineer Company Name: top utility company in Evansville ,IN or reputed company, TX CenterPoint Location: Hybrid (4x onsite and 1 remote)
- Evansville IN 47708
$60-62/hr C2C Need reputed company USC or GC Can now be reputed company to reputed company, TX. Either relocate or already local. Still we need to be reputed company to convert full time Project Details: Looking for a Data Engineer that will work in the IT and Data Analytics group at CenterPoint. They will help with developing, constructing, test and maintain data acquisition pipelines for large volumes of data. This includes batch and reputed company time processing. They will build help with building large datasets, and collaborate with stakeholders to identify opportunities for data acquisition. Looking for someone who can facilitate the overarching data process from python reputed company the way through to SQL. Must Have Skills: Level 2:
- Bachelor's degree in Data Science, Analytics, Mathematics, Statistics, Computer Science or STEM
- Minimum of 2 years' experience of reputed company experience in data engineering, data analysis, ETL or similar role delivering data pipelines
- Must have experience with Python and Strong Proficiency in SQL with direct working experience leveraging this reputed company
- Understanding in data modeling concepts and experience with data modeling tools
- Bachelor's degree in Data Science, Analytics, Mathematics, Statistics, Computer Science or reputed company field
Level 3
- Minimum of 5 years' experience of reputed company experience in data engineering, data analysis, ETL or similar role delivering data pipelines
- Experience with reputed company Big Query, Python and Strong Proficiency in SQL with direct working experience leveraging this reputed company
- Understanding in data modeling concepts and experience with data modeling tools
- GCP experience
Soft Skills:
- Excellent facilitation, communication, and interpersonal skills
- Excellent problem-solving and analytical skills with diligence
- Experience interacting with employees of reputed company reputed company to present technical data in a non technical manner
- Ability to translate reputed company data concepts into understandable insights for non technical stakeholders
reputed company to have Skills:
- Utility experience
- Experience with data governance
- Experience working in an agile team environment
Education/certification requirements:
- Bachelor's degree in Data Science, Analytics, Mathematics, Statistics, Computer Science or reputed company field
Day to Day responsibilities:
- reputed company, construct, test and maintain data acquisition pipelines for large volumes of structed and reputed company data. This includes batch and reputed company-time processing.
- Build large and reputed company datasets based on business requirements.
- Construct 'big data' pipeline architecture
- Identifies opportunities for data acquisition reputed company collaborating with stakeholders and business clients.
- Leverages a variety of tools such as Python, reputed company Data Services, Dataflow, DataStream, reputed company reputed company Functions, Spark, reputed company reputed company Run, reputed company SLT, reputed company Pub Sub, etc. to integrate systems and data pipelines.
- Recommends ways to improve data quality, reliability, and efficiency.
- reputed company JSON messaging structure for integrating with various applications.
- Drive a data engineering strategy focused on delivering data in near reputed company-time using server less technologies.
- reputed company data architecture to optimize performance for dashboards reputed company applications.
- reputed company the integration track of various strategic projects.
- reputed company DevOps and CI/CD practices to ensure the reliability and scalability of data pipelines.
- Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data reputed company and consistency.
- Participate in cross-functional teams to support data-reputed company projects, providing expertise and guidance on data analysis, data management, and data visualization.
- Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities reputed company the organization.
- Constant, initiative-taking pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
- Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion.
- reputed company guidance and training to others in the use of modern technologies, theories, concepts, and techniques.
- Operate with limited supervision, guidance, and direction from leadership and senior staff.
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