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IT Engineer,Software,Advanced

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's in Computer Science or related field, 7+ years of experience as a Data Engineer, Strong proficiency in SQL, PL/SQL and Snowflake, Expertise in ETL tools and programming languages, Knowledge of data engineering principles.

Key responsabilities:

  • Develop and implement data engineering solutions to solve business problems
  • Manipulate, extract, and transform data using database technologies
  • Create data pipelines with programming languages like Python, C, C++, and Java
  • Utilize reporting tools such as Tableau and Power BI for visualization
  • Collaborate with cross-functional teams for impactful BI solutions
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Keysight Technologies XLarge
10001 Employees
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Job description

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Your missions

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are seeking a talented and motivated BI Analytics Data Engineer to join our team. As a Data Engineer, you will play a crucial role in developing and implementing cutting-edge data engineering solutions to solve complex business problems. The ideal candidate will have expertise in database management, programming languages, data engineering, automation, and a deep understanding ETL concepts.

Responsibilities

  • Develop and implement data engineering solutions to solve business problems.
  • Expertise in SQL, PL/SQL, Snowflake, and other database technologies for data manipulation, extraction, and transformation.
  • Proficiency in programming languages such as Python, C, C++, and Java for data pipelines.
  • Familiarity with reporting tools like Tableau, Power BI for data visualization and reporting.
  • Strong experience in data engineering, including data preprocessing, and data pipeline development.
  • Implement automation techniques to streamline ML model development, deployment, and monitoring processes.
  • Collaborate with cross-functional teams including data scientists, software engineers, and product managers to deliver impactful BI solutions.
  • Excellent communication skills to effectively communicate complex technical concepts to non-technical stakeholders.
  • Engage in IT BI production support activities.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Proven 7+ years of experience as a Data Engineer or similar role.
  • Strong proficiency in SQL, PL/SQL, Snowflake, and relational database concepts.
  • Expertise in ETL tools like Matillion, Snowflake tasks and procedures.
  • Expertise in any programming languages such as Python, C, C++, Java.
  • Knowledge of data engineering principles and best practices.
  • Familiarity with automation tools and techniques.
  • Experince in machine learning algorithms and techniques is a plus.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and as part of a team in a fast-paced environment.

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • problem-reporting
  • verbal-communication-skills
  • Analytical Thinking
  • Problem Solving

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