October 25, 2023
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Burlington, MA, United States
October 25, 2023
Apply NowJob description
We are in search of a highly skilled and motivated Data Engineer to join our innovative team. The ideal candidate will play a crucial role in designing, developing, and maintaining our data architecture and systems. Working closely with cross-functional teams, you will be instrumental in ensuring the efficient and effective management of data, empowering data-driven decision-making and insights across the organization.
Responsibilities
Architect and Build: Design, construct, install, test, and maintain highly scalable data management systems.
Data Architecture: Develop and implement data architectures, databases, and data collection systems to optimize data quality and accessibility.
Optimize Data Processes: Identify and implement process improvements for data ingestion, transformation, and storage, enhancing data reliability and efficiency.
Collaboration: Collaborate with stakeholders to understand data infrastructure needs and provide technical expertise and support.
Data Pipelines: Create and maintain data pipelines for efficient data extraction, transformation, and loading from various sources.
Data Integrity: Perform data cleansing, processing, and validation to ensure data integrity and quality.
Teamwork: Work closely with data analysts and data scientists to design and maintain optimal data pipeline architecture.
Stay Current: Stay informed about emerging technologies and industry trends in data engineering and data management.
Requirements
Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
Experience: Proven experience as a Data Engineer or in a similar role.
Technical Skills: Strong knowledge of database technologies, data warehousing, and data modeling concepts. Proficiency in programming languages like Python, SQL, or Java.
Big Data Expertise: Experience with big data technologies and frameworks, such as Hadoop, Spark, or Kafka.
Cloud Know-How: Familiarity with cloud services, particularly AWS, GCP, or Azure.
Data Pipeline Mastery: Demonstrated expertise in designing and building data pipelines and data architecture.
Analytical Skills: Excellent problem-solving and analytical skills.
Communication: Strong communication and collaboration abilities.
Adaptability: Ability to thrive in a fast-paced and dynamic work environment.
Job Type: Full-time
Benefits
401(k)
Dental insurance
Health insurance
Experience
Teradata: 1+ years (Required)
Google Cloud Platform: 1+ years (Preferred)
Work Location: Remote
Employment Type: Full-Time
Responsibilities
Architect and Build: Design, construct, install, test, and maintain highly scalable data management systems.
Data Architecture: Develop and implement data architectures, databases, and data collection systems to optimize data quality and accessibility.
Optimize Data Processes: Identify and implement process improvements for data ingestion, transformation, and storage, enhancing data reliability and efficiency.
Collaboration: Collaborate with stakeholders to understand data infrastructure needs and provide technical expertise and support.
Data Pipelines: Create and maintain data pipelines for efficient data extraction, transformation, and loading from various sources.
Data Integrity: Perform data cleansing, processing, and validation to ensure data integrity and quality.
Teamwork: Work closely with data analysts and data scientists to design and maintain optimal data pipeline architecture.
Stay Current: Stay informed about emerging technologies and industry trends in data engineering and data management.
Requirements
Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
Experience: Proven experience as a Data Engineer or in a similar role.
Technical Skills: Strong knowledge of database technologies, data warehousing, and data modeling concepts. Proficiency in programming languages like Python, SQL, or Java.
Big Data Expertise: Experience with big data technologies and frameworks, such as Hadoop, Spark, or Kafka.
Cloud Know-How: Familiarity with cloud services, particularly AWS, GCP, or Azure.
Data Pipeline Mastery: Demonstrated expertise in designing and building data pipelines and data architecture.
Analytical Skills: Excellent problem-solving and analytical skills.
Communication: Strong communication and collaboration abilities.
Adaptability: Ability to thrive in a fast-paced and dynamic work environment.
Job Type: Full-time
Benefits
401(k)
Dental insurance
Health insurance
Experience
Teradata: 1+ years (Required)
Google Cloud Platform: 1+ years (Preferred)
Work Location: Remote
Employment Type: Full-Time
