cloud data engineer

Guardian Alarm

<p>General Purpose &amp; Essential Duties:<br/></p><p>The Cloud Data Engineer designs, builds, and maintains scalable data pipelines and cloud-based data solutions that enable the organization to access, analyze, and utilize data effectively. This role supports Guardian Alarm&rsquo;s evolving data strategy by integrating data from multiple systems, improving data accessibility, and enabling business intelligence and analytics initiatives. Working within the Azure ecosystem, the Cloud Data Engineer develops and maintains modern data pipelines, supports the organization&rsquo;s data platform architecture, and collaborates with technical and business stakeholders to ensure reliable and high-quality data is available to support reporting, analytics, and operational decision-making.<br/></p><p>Data Engineering &amp; Platform Development<br/></p><p>Design, develop, and maintain scalable cloud-based data pipelines and data integration solutions within the Azure ecosystem.<br/>Build and operationalize data ingestion and transformation pipelines using tools such as Azure Data Factory, Python, and SQL.<br/>Support development and implementation of the organization&rsquo;s cloud data platform, including Azure, Fabric and modern data architecture frameworks such as medallion architecture.<br/>Monitor and optimize data pipeline performance to ensure reliable and efficient data processing.<br/></p><p>Data Integration &amp; Pipeline Management<br/></p><p>Integrate data from multiple internal and external systems to support analytics, reporting, and operational data needs.<br/>Implement data transformations, data validation processes, and data quality controls to ensure reliable datasets.<br/>Analyze new data sources to determine usability, structure, and potential business value.<br/>Troubleshoot and resolve data pipeline failures, data inconsistencies, and system integration issues.<br/></p><p>Data Governance, Security &amp; Quality<br/></p><p>Support implementation of data governance practices, including data quality standards, data security, and proper data management processes.<br/>Assist in establishing best practices for data modeling, metadata management, and data lifecycle management.<br/>Ensure data solutions comply with organizational security and data protection standards.<br/></p><p>Analytics &amp; Reporting Support<br/></p><p>Collaborate with analytics, reporting, and business teams to ensure datasets support business intelligence and reporting requirements.<br/>Support the development and optimization of data models used in reporting tools such as Power BI.<br/>Assist stakeholders in understanding available data assets and how to leverage them effectively.<br/></p><p>Collaboration &amp; Technical Support<br/></p><p>Partner with IT teams, business stakeholders, and data users to deliver data solutions that support organizational objectives.<br/>Document data pipelines, architecture components, and technical processes to support long-term maintainability.<br/>Provide technical guidance to internal teams regarding the use and availability of data resources.<br/></p><p>Required Skills, Abilities, Education &amp; Experience<br/></p><p>Strong analytical and problem-solving skills with the ability to translate complex data challenges into practical solutions.<br/>Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.<br/>Strong collaboration skills with the ability to work cross-functionally with IT and business teams.<br/>Experience working with cloud-based data platforms and modern data engineering tools.<br/>Strong SQL and data transformation skills.<br/>4-6 years&rsquo; experience with Python or other scripting languages used for data processing and automation.<br/>4-6 years&rsquo; experience with Azure data services such as Azure Data Factory, Fabric, or related tools preferred.<br/>Ability to manage multiple projects and priorities in a dynamic environment.<br/>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or related STEM field, or equivalent practical experience.<br/>4&ndash;6 years of experience in data engineering, data integration, or related data platform development roles.<br/>Experience working with cloud-based data platforms, preferably Microsoft Azure.<br/>4-6 years experience building and maintaining data pipelines and data transformation processes.<br/>Experience supporting business intelligence and analytics environments preferred.<br/></p>

Cloud Data Engineer

VNS Health

<div>Overview:
<div>
The Cloud Data Engineer in VNS Health&rsquo;s Data Architecture Services Group designs, engineers and administers an enterprise data warehouse serving business and clinical units across VNS Health. Responsible for cloud data warehouse administration.</div>
Responsibilities:
<div>
Key job duties include:</div><ul><li>
Preps technical design documents from functional requirements; designs and engineers ELT/ETL framework; sets up application schemas, develops database code, conducts unit and system testing of end-to-end integration; handles release management and production support as needed.</li><li>
Works closely with data and analytics team to build greater functionality into data systems; builds and maintains system infrastructure required for optimal extraction, transformation and loading of data from sources across VNS Health, using SQL and AWS.</li><li>
Optimizes data pipeline architecture for greater scalability; integrates large, complex data sets to meet business requirements.</li><li>
Works with stakeholders Agency-wide to address tech issues, supports data-related IT infrastructure needs, streamlines and updates business logic and processes.</li><li>
Identifies, designs, builds and implements internal process improvements; automates manual processes; optimizes data delivery, ensures data integrity; designs and builds analytics tools using data pipeline, to provide insights into customer acquisition, operational efficiency, and other KPIs.</li></ul><div>
This position is fully remote; may work from anywhere in the U.S. Annual salary is $128,750.</div>
Qualifications:
<div><b>
Education:</b> Master&rsquo;s in Computer Science, MIS, Electronics Engineering or related field.</div><div></div><div><b><br>
Experience:</b> Requires 2 years&rsquo; experience with: cloud database engineering, replication, integration, manipulation and transformation; managing Role Based Access Control and proficiency writing complex SQL queries; AWS Cloud Services, data pipeline and workflow management tools, data modeling for Change Data Capture and Slowly Changing Dimensions, including logical, conceptual and physical modeling of data warehouse projects; version controlling GitHub, &amp; healthcare datasets, e.g. Members, Claims and Risk Adjustment.</div><div></div><div><br>
Compensation: $128,750- $128,750</div><div></div><div><br>
DNI-LI</div>
Pay Range: USD $128,750.00 - USD $128,750.00 /Yr.</div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><ul><li> 5+ years of experience building platforms and data products
</li></ul><ul><li> 5+ years of experience working with data and data warehousing business solutions
</li></ul><ul><li> 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
</li></ul><ul><li> AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
</li></ul><ul><li> 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
</li></ul><ul><li> Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
</li></ul><ul><li> Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li> Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
</li></ul><ul><li> Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
</li></ul><ul><li> Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
</li></ul><ul><li> Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
</li></ul><ul><li> Complete data modelling for acquisition and database implementation collaborating with different stakeholders
</li></ul><ul><li> Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
</li></ul><ul><li> Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
</li></ul><ul><li> Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
</li></ul><ul><li> Analyze and manage complex data
</li></ul><ul><li> Guide other data and analytics professionals on data standards and practices
</li></ul><ul><li> Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
</li></ul><ul><li> Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
</li></ul><ul><li> Leverage automation extensively for scalability, repeatability, and reuse</li></ul><br>
<div><br>
</div><div>Generic Managerial Skills, If any
</div><ul><li> Experience in Human Resources
</li></ul><ul><li> Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
</li></ul><ul><li> Experience with Azure DevOps (ADO) or Team Foundation Server (TFS ), GitLab, GIT, IIS, Windows Server
</li></ul><ul><li> Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
</li></ul><ul><li> Experience with Cloud technologies and/or Cloud-native app development and microservices</li></ul><br>
<div><br>
</div><div>Base Salary Range : $100,000 to $130,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>402083</div>
</div><div><div><b>Desired Skills</b></div>
<div>ASP.NET</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$130,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Muller's Solutions

<div><p>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul><br>
<b>
Requirements</b><p><b><br>
Requirements:</b></p><ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
1- Attractive Package.
</p><p>2- Family Benefits.
</p><p>3- Visa.</p><p>
4-Air Tickets.</p></div><p></p>

Google Cloud Data Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services
  </li>
  <li>
   Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing
  </li>
  <li>
   Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs
  </li>
  <li>
   Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise
  </li>
  <li>
   Ensure data quality by developing and implementing validation routines and data profiling techniques
  </li>
  <li>
   Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team
  </li>
  <li>
   Stay informed of emerging trends and best practices in data engineering and GCP technologies
  </li>
  <li>
   Participate in team efforts to define and enhance data governance and management practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
  </li>
  <li>
   3+ years of experience in data engineering, with a focus on Google Cloud Platform
  </li>
  <li>
   Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools
  </li>
  <li>
   Strong SQL skills and experience in data modeling and data warehousing concepts
  </li>
  <li>
   Familiarity with programming languages such as Python or Java for data processing tasks
  </li>
  <li>
   Ability to work with various data sources, including structured and unstructured data
  </li>
  <li>
   Strong analytical and problem-solving skills with attention to detail
  </li>
  <li>
   Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable
  </li>
  <li>
   Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub
  </li>
  <li>
   Understanding of CI/CD practices in data engineering workflows
  </li>
  <li>
   Knowledge of data visualization tools and techniques to present data insights effectively
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 1- Attractive Package.
 <br/>
 <br/>
 2- Family Benefits.
 <br/>
 <br/>
 3- Visa.
 <br/>
 <br/>
 4-Air Tickets.
</div>


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