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Job no: 525036 Position type: Staff Full Time Campus: UMass President's Office Campus Location: Westborough Department: UITS-Enterprise Data &Analytic Categories: Information Technology, Analytics/Programming/Data Advertised: Sep 16 2024 Eastern Daylight Time Applications close:
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Job Summary:
The University IT Services (UITS) Enterprise Data and Analytics (EDA) team is responsible for developing and managing shared services in the area of data and analytics for the entire UMass university system. These include:
<ul>
<li>Data services such as the Enterprise Data Warehouse, Data Lake, and related data integrations</li>
<li>Reporting, visualizations, and analytics tools for self-service use of university personnel</li>
<li>Data analysis and development services for various business lines including development of interactive dashboards and analytics</li>
</ul>
The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings. They are experienced in multiple data management technologies and support data analytics and data scientists in answering complex data driven business questions.
 Essential Functions:
Responsibilities and duties will include:
<ul>
<li>Supporting data analysts’ needs for structured and transformed data</li>
<li>Gathering and translating data requirements into technical specifications</li>
<li>Design and development of data structures to meet reporting and analytics needs</li>
<li>Design, development, and optimization of data transformations and flows and their upkeep</li>
<li>Solving complex data related problems</li>
<li>Developing cloud and on-premise data flows</li>
<li>Contribution to management of data and analytics platforms and operations, including monitoring and performance analysis</li>
</ul>
Other Functions:
Additional responsibilities could also include (depending on individual’s experience and interest):
<ul>
<li>Development of reports, visualizations, analytics and their delivery to end users</li>
<li>Helps with setting long term data and analytics objectives and goals for the enterprise</li>
<li>Data analysis in a specific data subject area(s) – i.e. student, finance, HR, etc.</li>
<li>Development of metadata layer for reporting tools</li>
<li>Development of advanced analytics content</li>
</ul>
Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience):
<ul>
<li>Bachelor’s Degree in MIS, Computer Science, Statistics, or business-related field</li>
<li>9+ years in business analysis or technical roles with the last 5 concentrating in data engineering</li>
<li>Strong understanding of SQL and/or PLSQL, and performance tuning</li>
<li>Specific experience developing data extracts, transformations, and loads</li>
<li>Strong communications skills both written and oral</li>
<li>Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica</li>
<li>Solid interpersonal skills, with ability to work well with people of all levels in both technical and business settings</li>
</ul>
Preferred Qualifications (Knowledge, Skills, Abilities, Education, Experience):
<ul>
<li>Dell Boomi experience</li>
<li>OBIEE, OAC, Tableau, R, Python or other reporting, visualization, and analytics tool experience</li>
<li>Cloud data movement experience, experience with Data Lakes and related concepts</li>
<li>Finance, HR, Student Administration, or Advancement data experience in Higher Education</li>
<li>PeopleSoft experience</li>
<li>Data Science training</li>
</ul>
Working Conditions:
Typical office environment.
 Additional Details:
Salary commensurate with experience up to $130,000.
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Apply now Job no: 525036 Position type: Staff Full Time Campus: UMass President's Office Campus Location: Westborough Department: UITS-Enterprise Data & Analytic Categories: Information Technology, Analytics/Programming/Data Advertised: Sep 16 2024 Eastern Daylight Time Applications close:Job Summary:The University IT Services (UITS) Enterprise Data and Analytics (EDA) team is responsible for developing and managing shared services in the area of data and analytics for the entire UMass university system. These include:<ul><li>Data services such as the Enterprise Data Warehouse, Data Lake, and related data integrations</li><li>Reporting, visualizations, and analytics tools for self-service use of university personnel</li><li>Data analysis and development services for various business lines including development of interactive dashboards and analytics</li></ul>The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings. They are experienced in multiple data management technologies and support data analytics and data scientists in answering complex data driven business questions.Essential Functions:Responsibilities and duties will include:<ul><li>Supporting data analysts’ needs for structured and transformed data</li><li>Gathering and translating data requirements into technical specifications</li><li>Design and development of data structures to meet reporting and analytics needs</li><li>Design, development, and optimization of data transformations and flows and their upkeep</li><li>Solving complex data related problems</li><li>Developing cloud and on-premise data flows</li><li>Contribution to management of data and analytics platforms and operations, including monitoring and performance analysis</li></ul>Other Functions:Additional responsibilities could also include (depending on individual’s experience and interest):<ul><li>Development of reports, visualizations, analytics and their delivery to end users</li><li>Helps with setting long term data and analytics objectives and goals for the enterprise</li><li>Data analysis in a specific data subject area(s) – i.e. student, finance, HR, etc.</li><li>Development of metadata layer for reporting tools</li><li>Development of advanced analytics content</li></ul>Minimum Qualifications (Knowledge, Skills, Abilities, Education, Experience):<ul><li>Bachelor’s Degree in MIS, Computer Science, Statistics, or business-related field</li><li>9+ years in business analysis or technical roles with the last 5 concentrating in data engineering</li><li>Strong understanding of SQL and/or PLSQL, and performance tuning</li><li>Specific experience developing data extracts, transformations, and loads</li><li>Strong communications skills both written and oral</li><li>Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica</li><li>Solid interpersonal skills, with ability to work well with people of all levels in both technical and business settings</li></ul>Preferred Qualifications (Knowledge, Skills, Abilities, Education, Experience):<ul><li>Dell Boomi experience</li><li>OBIEE, OAC, Tableau, R, Python or other reporting, visualization, and analytics tool experience</li><li>Cloud data movement experience, experience with Data Lakes and related concepts</li><li>Finance, HR, Student Administration, or Advancement data experience in Higher Education</li><li>Data Science training</li></ul>Working Conditions:Typical office environment.Salary commensurate with experience up to $130,000.The University of Massachusetts is an Equal Opportunity/Affirmative Action, Title IX employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, ancestry, age over 40, protected veteran status, disability, sexual orientation, gender identity/expression, marital status, or other protected class.
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<h3>Company Description</h3>In business since 2000, LanceSoft is a nationally certified Minority Business Enterprise (MBE) that has established itself as a pioneer in providing highly scalable, cost-effective workforce solutions to a diverse set of customers across various industries in the United States. Headquartered in Virginia, LanceSoft currently operates out of several locations in the US and Canada.<h3>Job Description</h3>The Sr. Data Engineer will be responsible for assisting business teams with data analytics needs, working with Global Services Data Architect to make sense out of the vast amount of machine data collected over time.Duties include (but are not limited to):<ol><li>Application development - ensure translation of requirements into a logical and physical database architecture/design needs</li><li>Application development – participate in cross-functional and global application teams to design and develop data layers and data stores (data services in Java, stored procedures in Oracle)</li><li>Application development – educate and mentor peers and application teams on best practices on data management</li><li>Production support – database performance monitoring, troubleshooting, and tuning</li><li>Data analytics – explore data sets and identify data transformation and data quality needs for targeted applications</li><li>Data analytics – implement known data engineering tasks including transformation, quality remediation and report, audit, optimization for storage and retrieval</li><li>Data analytics – develop analytics / algorithms / rules to derive insight and business value</li></ol>Quality Specific Goals:<ol><li>Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position</li><li>Complete all planned Quality & Compliance training within the defined deadlines</li><li>Identify and report any quality or compliance concerns and take immediate corrective action as required</li><li>Ensure compliance/closure of Regulatory and Quality requirements before approving Design Outputs/Program Deliverables</li><li>Lead continuous improvement activities by driving the implementation of process and product quality improvement initiatives</li></ol><h3>Qualifications</h3>• Bachelor degree in Computer Science or Engineering, or closely related fields• 4+ years of experience designing and implementing SQL queries, stored procedures, and optimizing their performance• 2+ years of experience working on Oracle data administration• Experience in software development and the software development lifecycle• Experience with batch processing and large databases• Expertise in one or more analytics software tools and packages• Familiar with data modeling and physical database design• Familiar with Unix• Strong communication (written and verbal) and problem-solving skills• Ability to work independently, with limited informationPreferred Qualifications:• Familiar with Agile software development methodology• Experienced with developing with Java• Healthcare Services domain knowledge• Experience/familiarity with Remote Monitoring & Diagnostics• Basic knowledge of project planning and execution• Demonstrated experience with regulatory compliance process, and quality management process in the context of software development• Experience in working with global teams and users across the world
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Description Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to these questions and youll fit right in here in Mechatronics and Sustainable Packaging Integrated Systems team. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers experiences in ways we cant imagine yet. We invent new improvements every day. The packaging and sustainable packaging group develops robotic material handling products that increase the safety and efficiency of our fulfillment operations. Our products are deployed across the Amazon Fulfillment Network, automating material flow to reduce operational costs, increase throughput, and enable consistent quality. Our workcells are integrated into broader solutions for storage, packaging, sortation, and transportation of items and packages. MSP is seeking a Data engineer to join a dynamic new data team that provides leadership for concept development, architecture, design and testing of robotics systems and industrial equipment. This is an opportunity to make your mark and shape how the team accesses, utilizes and distributes data that continues to inform critical decision making within the organization. Youll work closely with Business Intelligence Engineers, Data Scientists, Product Managers, Systems Engineers and more. In this role, you will: Key job responsibilities Key job responsibilities Design, implement, and maintain AWS cloud infrastructure to support the storage, processing, and analysis of large data sets, ensuring security and scalability. Develop ETL pipelines to ingest, transform, and store structured and unstructured data from various sources into AWS data stores such as S3, Redshift, and other internal Amazon platforms. Collaborate with data scientists, analysts, and business intelligence teams to understand data needs and provide accessible, reliable data pipelines and solutions. Automate data processes and workflows using AWS services such as Lambda, Glue for efficient data handling and processing. Improve and raise the bar on proactive data quality monitoring and alarming (e.g., anomaly detection) across big data pipelines Define the future of MSP Solutions data architecture A day in the life As a data engineer on this team, you will collaborate closely with MSP business leaders, data scientists and engineering leaders to build data solutions. You will leverage AWS technologies (S3, GLUE, KMS, Lambda, DynamoDB, etc.) to build novel systems and tackle challenges at scale. You will manipulate and process TB-sized data, supporting real-time access and orchestration across multiple systems. Your work will to enhance our scientific models and data applications. As a consequence, you will have global impact, improving customer experiences for Amazon customers worldwide. As a successful candidate, you will successfully interact with both technical and business stakeholders. Basic Qualifications - 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices Preferred Qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Data Engineer Jobs in Westborough, MA

Senior Data EngineerDecember 9, 2024

Senior Data EngineerDecember 8, 2024

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