Data Engineer at Randstad USA

job summary:

Overview: We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will possess a Bachelor's degree in Computer Science, along with a minimum of 5 years of related experience. strong communication skills are essential, as the role involves collaborating with various teams and stakeholders. The candidate should have a proven track record of developing and optimizing ETL processes, designing Enterprise Data Warehouses, and implementing Analytics applications.

Responsibilities:

• Develop and optimize ETL processes using tools such as PowerCenter, Informatica Data Replication (IDR), webMethods, or similar platforms.
  
  
• Design and develop Enterprise Data Warehouses and Data Marts following the Kimball methodology.
  
  
• Collaborate with cross-functional teams to understand data requirements and implement effective data solutions.
  
  
• Perform development and tuning on RDBMS technologies including Oracle, SQL Server, Teradata, or SingleStore.
  
  
• Design and/or develop Analytics applications using tools such as Power BI, QlikView, SAS, RapidMiner, or equivalent products.
  
  
• Ensure data integrity, security, and compliance with industry standards and regulations.
  
  
• Provide technical expertise and guidance to junior team members.
  
  
• Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns.

Requirements:

• Bachelor's degree in Computer Science (required).
  
  
• Minimum of 5 years of related experience, with 7+ years preferred.
  
  
• 2-3 years of experience in development and tuning of ETL processes using PowerCenter, Informatica Data Replication (IDR), webMethods, or equivalent tools.
  
  
• 2-3 years of experience in using the Kimball methodology to design and develop Enterprise Data Warehouses and Data Marts.
  
  
• Proficiency in RDBMS technologies including Oracle, SQL Server, Teradata, or SingleStore.
  
  
• Experience in designing and/or developing Analytics applications using tools such as Power BI, QlikView, SAS, RapidMiner, or similar products.
  
  
• Excellent communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  
  
• strong problem-solving skills and attention to detail.
  
  
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

• Master's degree in Computer Science or a related field.
  
  
• Certification in relevant technologies or methodologies.
  
  
• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud Platform.
  
  
• Knowledge of Big Data technologies such as Hadoop, Spark, or Kafka.
  
  
• Experience with data visualization and dashboarding tools.
  
  
• Familiarity with Agile development methodologies.

Communication Skills: The candidate should possess exceptional communication skills, written and verbal. The ability to articulate complex technical concepts in a clear and concise manner is crucial for this role.

Note: The qualifications and responsibilities listed above are intended to provide a general overview of the position. Additional duties and requirements may be assigned as needed.

 
location: Remote, Remote
job type: Permanent
salary: $120,000 - 129,000 per year
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
  
  
• Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
  
  
• Create data products for analytics and data scientist team members to improve their productivity
  
  
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  
  
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
  
  
• Lead the evaluation, implementation and deployment of