cloud data engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Support one of the top Australian banks as they seek to modernise their data and analytics platform.<br>
You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Roles &amp; Responsibilities:
</p></div><div><p>Design, build, and deliver a new cloud data solution to transform our international regulatory reporting requirements
</p></div><div><p>Lead the design and delivery of cost-effective, scalable data solutions aligned with strategic goals that meet performance, security, and operational requirements.
</p></div><div><p>Drive solution architecture decisions, ensuring alignment with enterprise architecture principles and business priorities
</p></div><div><p>Engineer robust data product assets and pipelines in AWS (S3, Glue, Iceberg, Kinesis, Airflow, Sagemaker, Redshift) that integrate with other applications, including SaaS reporting applications, eg, Axiom
</p></div><div><p>Provide technical data governance and risk management,
</p></div><div><p>Lead a team of data engineers providing technical guidance, reviewing work, and mentoring team members to deliver high-quality data products
</p></div><div><p>Define and implement engineering standards, including data modelling, ingestion, transformation, and egression patterns and reviews
</p></div><div><p>Collaborate across teams to ensure a secure, efficient, and well-documented solution.
</p></div><div><p>Learn and contribute to continuous improvement initiatives within the team.
</p></div><div><p>We would like to hear from individuals with expertise in:
</p></div><div><p>Have strong experience in Data Engineering using Agile practices and DevSecOps
</p></div><div><p>Are experienced in designing, building, and delivering &ldquo;greenfield&rdquo; data solutions in AWS Cloud using cloud native technologies that produce data products or data assets with proper data quality assurance and security controls.
</p></div><div><p>Are passionate technology leaders, can mentor and build a good community of engaged and curious engineers
</p></div><div><p>Having strong solution design capabilities, consistently driving cost-effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals, is essential.
</p></div><div><p>Have excellent verbal and written communication skills
</p></div><div><p>Have an ability to engage, manage internal stakeholders, and external suppliers
</p></div><div><p>Have a problem-solving mindset with a focus on automation and continuous process improvement
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Total Years of experience in the range of 4+ years in the following skills:
</p></div><div><p>We use a broad range of tools, languages, and frameworks. We don&rsquo;t expect you to know them all, but experience or exposure with some of these (or equivalents) will set you up for success in this team-
</p></div><div><p>Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration, and data pipeline solutions
</p></div><div><p>Strong Data Architecture expertise, including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
</p></div><div><p>Strong knowledge of data governance, such as data lineage, technical metadata, data quality, and reconciliation
</p></div><div><p>Ability to drive platform efficiency through automation and AI capabilities
</p></div><div><p>AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
</p></div><div><p>Data Orchestration &amp; Pipelines: Airflow, Dataform
</p></div><div><p>Data Formats &amp; Modelling: Iceberg, JSON, XML, CSV, Data Modelling
</p></div><div><p>Programming &amp; DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus, Unix shell scripting
</p></div><div><p>ETL &amp; Ingestion: File ingress/egress solutions in AWS
</p></div><div><p>Security and Observability: DevSecOps, Artifactory, Observability tooling
</p></div><div><p>Testing &amp; Automation: test automation frameworks, Jupyter Notebooks
</p></div><div><p>Familiarity with data warehousing and build experience in Teradata, Oracle
</p></div><div><p>Experience in visualisation tools such as Power BI, Tableau
</p></div><div><p>Familiarity and experience with Agile processes
</p></div><div><p>AWS Data Engineer Associate certification
</p></div></div><p>Nice to have
</p><div><div><p>AWS Solution Architect certification
</p></div><div><p>Containerisation (Docker, Kubernetes)
</p></div><div><p>Data visualisation tools and integration to Tableau, Power BI
</p></div><div><p>Alation
</p></div><div><p>Observability tools (i.e., Observe, Splunk, or Prometheus/Grafana).
</p></div><div><p>Ab initio or DBT tooling
</p></div><div><p>Experience with Parquet File Format, Iceberg tables
</p></div><div><p>Glue Data Catalogue &amp; AWS DataZone
</p></div><div><p>Markets domain knowledge
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Regular</p></div></div></div></div></div>
<br><div><div><div><p>Hyderabad, IN, India
</p></div><p>Req. VR-116201
</p></div><div></div><div><div><p>DevOps
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-116201</p></div></div></div><p></p>

Cloud Data Engineer

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Support one of the top Australian banks as they seek to modernise their data and analytics platform.<br>
You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Roles &amp; Responsibilities:
</p></div><div><p>Design, build, and deliver a new cloud data solution to transform our international regulatory reporting requirements
</p></div><div><p>Lead the design and delivery of cost-effective, scalable data solutions aligned with strategic goals that meet performance, security, and operational requirements.
</p></div><div><p>Drive solution architecture decisions, ensuring alignment with enterprise architecture principles and business priorities
</p></div><div><p>Engineer robust data product assets and pipelines in AWS (S3, Glue, Iceberg, Kinesis, Airflow, Sagemaker, Redshift) that integrate with other applications, including SaaS reporting applications, eg, Axiom
</p></div><div><p>Provide technical data governance and risk management,
</p></div><div><p>Lead a team of data engineers providing technical guidance, reviewing work, and mentoring team members to deliver high-quality data products
</p></div><div><p>Define and implement engineering standards, including data modelling, ingestion, transformation, and egression patterns and reviews
</p></div><div><p>Collaborate across teams to ensure a secure, efficient, and well-documented solution.
</p></div><div><p>Learn and contribute to continuous improvement initiatives within the team.
</p></div><div><p>We would like to hear from individuals with expertise in:
</p></div><div><p>Have strong experience in Data Engineering using Agile practices and DevSecOps
</p></div><div><p>Are experienced in designing, building, and delivering &ldquo;greenfield&rdquo; data solutions in AWS Cloud using cloud native technologies that produce data products or data assets with proper data quality assurance and security controls.
</p></div><div><p>Are passionate technology leaders, can mentor and build a good community of engaged and curious engineers
</p></div><div><p>Having strong solution design capabilities, consistently driving cost-effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals, is essential.
</p></div><div><p>Have excellent verbal and written communication skills
</p></div><div><p>Have an ability to engage, manage internal stakeholders, and external suppliers
</p></div><div><p>Have a problem-solving mindset with a focus on automation and continuous process improvement
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Total Years of experience in the range of 4+ years in the following skills:
</p></div><div><p>We use a broad range of tools, languages, and frameworks. We don&rsquo;t expect you to know them all, but experience or exposure with some of these (or equivalents) will set you up for success in this team-
</p></div><div><p>Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration, and data pipeline solutions
</p></div><div><p>Strong Data Architecture expertise, including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
</p></div><div><p>Strong knowledge of data governance, such as data lineage, technical metadata, data quality, and reconciliation
</p></div><div><p>Ability to drive platform efficiency through automation and AI capabilities
</p></div><div><p>AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
</p></div><div><p>Data Orchestration &amp; Pipelines: Airflow, Dataform
</p></div><div><p>Data Formats &amp; Modelling: Iceberg, JSON, XML, CSV, Data Modelling
</p></div><div><p>Programming &amp; DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus, Unix shell scripting
</p></div><div><p>ETL &amp; Ingestion: File ingress/egress solutions in AWS
</p></div><div><p>Security and Observability: DevSecOps, Artifactory, Observability tooling
</p></div><div><p>Testing &amp; Automation: test automation frameworks, Jupyter Notebooks
</p></div><div><p>Familiarity with data warehousing and build experience in Teradata, Oracle
</p></div><div><p>Experience in visualisation tools such as Power BI, Tableau
</p></div><div><p>Familiarity and experience with Agile processes
</p></div><div><p>AWS Data Engineer Associate certification
</p></div></div><p>Nice to have
</p><div><div><p>AWS Solution Architect certification
</p></div><div><p>Containerisation (Docker, Kubernetes)
</p></div><div><p>Data visualisation tools and integration to Tableau, Power BI
</p></div><div><p>Alation
</p></div><div><p>Observability tools (i.e., Observe, Splunk, or Prometheus/Grafana).
</p></div><div><p>Ab initio or DBT tooling
</p></div><div><p>Experience with Parquet File Format, Iceberg tables
</p></div><div><p>Glue Data Catalogue &amp; AWS DataZone
</p></div><div><p>Markets domain knowledge
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Regular</p></div></div></div></div></div>
<br><div><div><div><p>Pune, India
</p></div><p>Req. VR-116201
</p></div><div></div><div><div><p>DevOps
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-116201</p></div></div></div><p></p>

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Support one of the top Australian banks as they seek to modernise their data and analytics platform.<br>
You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Roles &amp; Responsibilities:
</p></div><div><p>Design, build, and deliver a new cloud data solution to transform our international regulatory reporting requirements
</p></div><div><p>Lead the design and delivery of cost-effective, scalable data solutions aligned with strategic goals that meet performance, security, and operational requirements.
</p></div><div><p>Drive solution architecture decisions, ensuring alignment with enterprise architecture principles and business priorities
</p></div><div><p>Engineer robust data product assets and pipelines in AWS (S3, Glue, Iceberg, Kinesis, Airflow, Sagemaker, Redshift) that integrate with other applications, including SaaS reporting applications, eg, Axiom
</p></div><div><p>Provide technical data governance and risk management,
</p></div><div><p>Lead a team of data engineers providing technical guidance, reviewing work, and mentoring team members to deliver high-quality data products
</p></div><div><p>Define and implement engineering standards, including data modelling, ingestion, transformation, and egression patterns and reviews
</p></div><div><p>Collaborate across teams to ensure a secure, efficient, and well-documented solution.
</p></div><div><p>Learn and contribute to continuous improvement initiatives within the team.
</p></div><div><p>We would like to hear from individuals with expertise in:
</p></div><div><p>Have strong experience in Data Engineering using Agile practices and DevSecOps
</p></div><div><p>Are experienced in designing, building, and delivering &ldquo;greenfield&rdquo; data solutions in AWS Cloud using cloud native technologies that produce data products or data assets with proper data quality assurance and security controls.
</p></div><div><p>Are passionate technology leaders, can mentor and build a good community of engaged and curious engineers
</p></div><div><p>Having strong solution design capabilities, consistently driving cost-effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals, is essential.
</p></div><div><p>Have excellent verbal and written communication skills
</p></div><div><p>Have an ability to engage, manage internal stakeholders, and external suppliers
</p></div><div><p>Have a problem-solving mindset with a focus on automation and continuous process improvement
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Total Years of experience in the range of 4+ years in the following skills:
</p></div><div><p>We use a broad range of tools, languages, and frameworks. We don&rsquo;t expect you to know them all, but experience or exposure with some of these (or equivalents) will set you up for success in this team-
</p></div><div><p>Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration, and data pipeline solutions
</p></div><div><p>Strong Data Architecture expertise, including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
</p></div><div><p>Strong knowledge of data governance, such as data lineage, technical metadata, data quality, and reconciliation
</p></div><div><p>Ability to drive platform efficiency through automation and AI capabilities
</p></div><div><p>AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
</p></div><div><p>Data Orchestration &amp; Pipelines: Airflow, Dataform
</p></div><div><p>Data Formats &amp; Modelling: Iceberg, JSON, XML, CSV, Data Modelling
</p></div><div><p>Programming &amp; DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus, Unix shell scripting
</p></div><div><p>ETL &amp; Ingestion: File ingress/egress solutions in AWS
</p></div><div><p>Security and Observability: DevSecOps, Artifactory, Observability tooling
</p></div><div><p>Testing &amp; Automation: test automation frameworks, Jupyter Notebooks
</p></div><div><p>Familiarity with data warehousing and build experience in Teradata, Oracle
</p></div><div><p>Experience in visualisation tools such as Power BI, Tableau
</p></div><div><p>Familiarity and experience with Agile processes
</p></div><div><p>AWS Data Engineer Associate certification
</p></div></div><p>Nice to have
</p><div><div><p>AWS Solution Architect certification
</p></div><div><p>Containerisation (Docker, Kubernetes)
</p></div><div><p>Data visualisation tools and integration to Tableau, Power BI
</p></div><div><p>Alation
</p></div><div><p>Observability tools (i.e., Observe, Splunk, or Prometheus/Grafana).
</p></div><div><p>Ab initio or DBT tooling
</p></div><div><p>Experience with Parquet File Format, Iceberg tables
</p></div><div><p>Glue Data Catalogue &amp; AWS DataZone
</p></div><div><p>Markets domain knowledge
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Regular</p></div></div></div></div></div>
<br><div><div><div><p>Chennai, India
</p></div><p>Req. VR-116201
</p></div><div></div><div><div><p>DevOps
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-116201</p></div></div></div><p></p>

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Support one of the top Australian banks as they seek to modernise their data and analytics platform.<br>
You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Roles &amp; Responsibilities:
</p></div><div><p>Design, build, and deliver a new cloud data solution to transform our international regulatory reporting requirements
</p></div><div><p>Lead the design and delivery of cost-effective, scalable data solutions aligned with strategic goals that meet performance, security, and operational requirements.
</p></div><div><p>Drive solution architecture decisions, ensuring alignment with enterprise architecture principles and business priorities
</p></div><div><p>Engineer robust data product assets and pipelines in AWS (S3, Glue, Iceberg, Kinesis, Airflow, Sagemaker, Redshift) that integrate with other applications, including SaaS reporting applications, eg, Axiom
</p></div><div><p>Provide technical data governance and risk management,
</p></div><div><p>Lead a team of data engineers providing technical guidance, reviewing work, and mentoring team members to deliver high-quality data products
</p></div><div><p>Define and implement engineering standards, including data modelling, ingestion, transformation, and egression patterns and reviews
</p></div><div><p>Collaborate across teams to ensure a secure, efficient, and well-documented solution.
</p></div><div><p>Learn and contribute to continuous improvement initiatives within the team.
</p></div><div><p>We would like to hear from individuals with expertise in:
</p></div><div><p>Have strong experience in Data Engineering using Agile practices and DevSecOps
</p></div><div><p>Are experienced in designing, building, and delivering &ldquo;greenfield&rdquo; data solutions in AWS Cloud using cloud native technologies that produce data products or data assets with proper data quality assurance and security controls.
</p></div><div><p>Are passionate technology leaders, can mentor and build a good community of engaged and curious engineers
</p></div><div><p>Having strong solution design capabilities, consistently driving cost-effective and technologically feasible solutions, while steering solution decisions across the group, to meet both operational and strategic goals, is essential.
</p></div><div><p>Have excellent verbal and written communication skills
</p></div><div><p>Have an ability to engage, manage internal stakeholders, and external suppliers
</p></div><div><p>Have a problem-solving mindset with a focus on automation and continuous process improvement
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Total Years of experience in the range of 4+ years in the following skills:
</p></div><div><p>We use a broad range of tools, languages, and frameworks. We don&rsquo;t expect you to know them all, but experience or exposure with some of these (or equivalents) will set you up for success in this team-
</p></div><div><p>Extensive experience in designing, building, and delivering enterprise-wide data ingestion, data integration, and data pipeline solutions
</p></div><div><p>Strong Data Architecture expertise, including different data modelling techniques and design patterns (conceptual, logical, physical, semantic is preferred)
</p></div><div><p>Strong knowledge of data governance, such as data lineage, technical metadata, data quality, and reconciliation
</p></div><div><p>Ability to drive platform efficiency through automation and AI capabilities
</p></div><div><p>AWS Data Stack: EMR, Glue, Redshift, Athena, S3, Lambda, ECS
</p></div><div><p>Data Orchestration &amp; Pipelines: Airflow, Dataform
</p></div><div><p>Data Formats &amp; Modelling: Iceberg, JSON, XML, CSV, Data Modelling
</p></div><div><p>Programming &amp; DevOps: Python, SQL, Git, GitHub Actions, Team City, Jenkins, Octopus, Unix shell scripting
</p></div><div><p>ETL &amp; Ingestion: File ingress/egress solutions in AWS
</p></div><div><p>Security and Observability: DevSecOps, Artifactory, Observability tooling
</p></div><div><p>Testing &amp; Automation: test automation frameworks, Jupyter Notebooks
</p></div><div><p>Familiarity with data warehousing and build experience in Teradata, Oracle
</p></div><div><p>Experience in visualisation tools such as Power BI, Tableau
</p></div><div><p>Familiarity and experience with Agile processes
</p></div><div><p>AWS Data Engineer Associate certification
</p></div></div><p>Nice to have
</p><div><div><p>AWS Solution Architect certification
</p></div><div><p>Containerisation (Docker, Kubernetes)
</p></div><div><p>Data visualisation tools and integration to Tableau, Power BI
</p></div><div><p>Alation
</p></div><div><p>Observability tools (i.e., Observe, Splunk, or Prometheus/Grafana).
</p></div><div><p>Ab initio or DBT tooling
</p></div><div><p>Experience with Parquet File Format, Iceberg tables
</p></div><div><p>Glue Data Catalogue &amp; AWS DataZone
</p></div><div><p>Markets domain knowledge
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Regular</p></div></div></div></div></div>
<br><div><div><div><p>Gurugram, India
</p></div><p>Req. VR-116201
</p></div><div></div><div><div><p>DevOps
</p></div><div><p>BCM Industry</p>
</div><div><p>23/02/2026
</p></div><div><p>Req. VR-116201</p></div></div></div><p></p>

Arbitration Forums Inc.

<div><p><b>DEPARTMENT: </b>Data Insights and Innovation</p><p><b>
JOB TITLE: </b>Senior Cloud Data Engineer</p><p><b>
JOB CODE: </b>SCDE</p><p><b>
REPORTS TO: </b>Lead Cloud Data Engineer</p><p><b>
FLSA STATUS: </b>Exempt</p><p><b>
EMPLOYMENT TYPE: </b>Full-Time</p><p><b>
JOB PURPOSE:</b></p><p>
This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).
</p><p>The Senior Cloud Data Engineer will be responsible for designing, developing, and implementing robust, scalable, and secure data pipelines for modern cloud platforms to support analytics and AI/ML needs at Arbitration Forums, Inc. This role will streamline data acquisition from different data sources and set up processes to ensure data quality and data security.</p><p><b>
DEPARTMENTAL EXPECTATION OF EMPLOYEE</b></p><ul><li>
Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model</li><li>
Acts as a role model within and outside AF.</li><li>
Performs duties as workload necessitates.</li><li>
Maintains a positive and respectful attitude.</li><li>
Communicates regularly with the departmental leader about department issues.</li><li>
Demonstrates flexible and efficient time management and ability to prioritize workload.</li><li>
Consistently reports to work on time, prepared to perform duties of the position.</li><li>
Meets Department productivity standards.</li></ul><p><b>
ESSENTIAL DUTIES AND RESPONSIBILITIES</b></p><p><b>
Data Engineering &amp; Pipeline Development:</b></p><ul><li>
Design, develop, and implement robust, scalable, and secure data pipelines in a cloud environment.</li><li>
Build and manage ETL/ELT processes to efficiently move and transform large datasets from multiple data sources.</li><li>
Implement secure data access, encryption, and data masking policies.</li><li>
Develop automated processes to validate data quality and data accuracy.</li><li>
Document and maintain data workflows and diagrams.</li><li>
Work with data scientists and AI specialists to automate model deployment lifecycles (MLOps).</li></ul><p><b>
Data pipeline/warehouse management</b></p><ul><li>
Configure and maintain cloud-based data warehousing solutions.</li><li>
Optimize data warehouse storage strategies to support analytics and data science needs.</li><li>
Set up monitoring tools and alerts to maintain data warehouse availability and reliability.</li><li>
Troubleshoot, profile, and optimize data pipelines for performance issues to minimize latency.</li></ul><p><b>
Collaboration</b></p><ul><li>
Work closely with data architects, data analysts and data scientists to understand their data needs and translate them into technical designs.</li><li>
Mentor and guide junior data engineers, perform code reviews, and establish best practices for could data engineering.</li><li>
Collaborate with DevOps and ITOps to implement CI/CD pipelines and robust DR strategies.</li></ul><p><b>
QUALIFICATIONS</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Computer Engineering, Information Systems, or a related field.</li><li>
7+ years of experience in data engineering with a focus on cloud data engineering.</li></ul><p><b>
Technical Skills:</b></p><ul><li>
Profound understanding of major cloud platforms (AWS, GCP, Azure) and major cloud data platforms like Snowflake and Databricks.</li><li>
Hands-on experience with data services offered by cloud platforms.</li><li>
Expertise in programming languages such as Python, Java, or Scala with strong SQL skills.</li><li>
Experience with ETL/ELT tools like Talend, DBT, Azure Data Factory, etc.</li><li>
Experience with CI/CD tools like GitLab/GitHub.</li><li>
Strong knowledge of data governance, data security, and compliance practices.</li><li>
Experience supporting data science and machine learning operations.</li><li>
Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau).</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Excellent analytical and problem-solving abilities.</li><li>
Strong communication and interpersonal skills to collaborate with cross-functional teams.</li><li>
Auto Insurance claims industry experience preferred.</li></ul><p><b>
AMERICANS WITH DISABILITY SPECIFICATIONS</b></p><p><b>
PHYSICAL DEMANDS</b></p><p>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.</p><p>
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.</p><p><b>
WORK ENVIRONMENT</b></p><p>
This is a fully remote position requiring reliable high-speed internet access and a dedicated workspace.</p><p>
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p></div><p></p>

Senior Cloud Data Engineer

Valeo

<div><p>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
</p><p></p><ul><li><div><div><div><div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><ul><li>Participate in Analytics projects in GCP
</li><li>Design, build, and optimize scalable data pipelines for ingestion, processing, and validation.
</li><li>Monitor and optimize cloud environments for performance, security, and cost efficiency.
</li><li>Manage and configure GCP resources such as BigQuery, Cloud Functions, Cloud Storage, and other GCP services. .
</li><li>Ensure data quality and validation across the analytics ecosystem.
</li><li>Implement cloud security best practices and ensure compliance with industry standards.
</li><li>Collaborate with cross-functional teams to integrate data from multiple sources and improve data flows.
</li><li>Explore and experiment with new use cases in Data Analytics, Data Engineering, and AI.
</li><li>Troubleshoot and resolve cloud and data pipeline issues to improve system reliability.
</li><li>Provide insights and recommendations for cloud cost optimization and resource management.
</li><li>Collect, analyze, and align business requirements with stakeholders for data-driven solutions.
</li><li>Develop and maintain clear documentation for data processes, cloud architecture, and best practices.
</li></ul><h2 class="jobSectionHeader"><b>Requirements
</b></h2><ul><li>Education/Training
</li><li>BSc degree in computer engineering, computer science or any similar technical field of study
</li><li>Languages
</li><li>Excellent command of English language is a must (Written and Verbal)
</li><li>French fluency is a plus.
</li></ul></div></div></div></div></li></ul><p><b>Job:
</b></p>Business Applications Analyst
<p><b>Organization:
</b></p>IS SSC
<p><b>Schedule:
</b></p>Full time
<p><b>Employee Status:
</b></p>Regular
<p><b>Job Type:
</b></p><p><b>Job Posting Date:
</b></p>2026-02-08
<div><i>Join Us !
</i><br>
<i>Being part of our team, you will join:
</i><br>
<ul><li><i>one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
</i></li><li><i>a multi-cultural environment that values diversity and international collaboration
</i></li><li><i>more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
</i></li><li><i>a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
</i></li></ul><br>
<i>More information on Valeo: </i><i>https://www.valeo.com</i></div></div>

Senior Google Cloud Data Engineer, Valeo Service

Gulfstream Aerospace

<div><p><b>Reporting Developer Senior - Cloud Analytics Data Engineer Senior in GAC Savannah</b></p><p><b><br>
Unique Skills:</b></p><p></p><div>
Azure Databricks or Microsoft Fabric Data Engineer Skillset Requirements:</div><div>
General:</div><ul><li>
Minimum 5 years experience with Azure Databricks or Python ETL Pipelines</li><li>
Experience with medallion framework architecture and ingesting data from on-premise systems to either Azure Databricks or Microsoft Fabric</li><li>
Expertise in writing production-grade Python code for data ingestion, transformation, and export, including use of unit testing, building reusable frameworks, error handling, disaster recover, and logging frameworks.</li></ul><div></div><div><br>
Preferred Certifications:</div><ul><li>
Databricks Certified Data Engineer Professional</li><li>
And / Or Microsoft Certified: Azure Data Engineer Associate</li></ul><div></div><div><br>
Either one of the following (Databricks or Microsoft Fabric):</div><div>
Databricks:
</div><ul><li>Deep understanding of Unity Catalog, data lineage, access control, and audit logging, with the ability to enforce enterprise-wide data governance policies.</li></ul><ul><li>
Proven ability to design and implement scalable, cost optimized, fault-tolerant data pipelines using Databricks Workflows, Declarative Pipelines, Delta Lake, and Auto Loader, with a focus on modularity and reusability.</li><li>
Experience securely ingesting data from on-premise databases (e.g., SQL Server, Oracle) using CDC and batch based methodologies by extending existing pipelines or creating new pipelines.</li><li>
Ability to implement and manage CI/CD pipelines for Databricks notebooks and workflows using Azure DevOps, Terraform, and Databricks Asset Bundles including automated testing and deployment.</li><li>
Familiarity with serverless cost models, usage monitoring, and optimization strategies to ensure efficient resource utilization and budget adherence.</li></ul><div></div><div><br>
Microsoft Fabric:</div><ul><li>
Deep understanding of Lakehouse and Warehouse architecture and security</li><li>
Proven ability to configure pipelines, pipeline coordination, and pipeline monitoring</li><li>
Experience with performance optimization and monitoring</li><li>
Semantic modeling and Power BI experience</li></ul><p></p><div><div><div><h2 class="jobSectionHeader"><b><br>
Education and Experience Requirements</b></h2></div><div>
Bachelor's Degree in Information Technology, Computer Science, Engineering or relevant curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 9 years relevant business/technical experience to include five (5) years specific reporting, data analytics, or related technical development/deployment experience. Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience.
<p></p><b>Position Purpose</b>:<p></p>
This is a data and analytics development role within the Gulfstream Business Technology organization for the Enterprise Reporting team. This role directly supports the suite of Gulfstream Enterprise Reporting applications. Responsible for developing requirements, solution development, testing, deployment, and support of enterprise reporting solutions.</div></div><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2></div><p></p><div>
Principle Duties and Responsibilities:<p></p>
Essential Functions:
<div><ul><li>Engages stakeholders and technology users in identifying, analyzing, and documenting business requirements.</li></ul><p></p><ul><li>
Creates plans according to schedules and assignments, and acts independently to carry them out.</li></ul><p></p><ul><li>
Assures that solution designs meet requirements for scalability, performance and quality in accordance with negotiated service level agreements. Drives decisions related to architecture and design.</li></ul><p></p><ul><li>
Delegates tasks and/or responsibilities to team members for action according to their level of experience and assigned accountability.</li></ul><p></p><ul><li>
Ensures applications processes are followed consistently and are in compliance with applicable policies, procedures, standards, etc.</li></ul><p></p><ul><li>
Performs work related to configuring, deploying, maintaining, and upgrading reporting and data analytics applications and processes. Responsible for tasks related to the development and deployment of systems, methodologies, standards and processes that result in the ability to create and manage the technical solutions.</li></ul><p></p><ul><li>
Supports management in recruiting, hiring, and career development.</li></ul><p></p><ul><li>
Assists with the development of work breakdown structures, project plans, and skills required. to develop and implement applications.</li></ul><p></p><ul><li>
Documents, develops, tests, deploys, and supports reporting and data analytics development using a variety of technical tools in support of business requirements.</li></ul></div><p></p>
Additional Functions:
<div><ul><li>Conducts briefings and participates in technical meetings concerning specific projects or other activities. .</li></ul><p></p><ul><li>
Serves as technical expert in one or more applications within a portfolio. .</li></ul></div><p></p>
Perform other duties as assigned.<p></p>
Other Requirements:
<div><ul><li>Experience with Agile development methodology and working on an agile team preferred. Multiple agile based project deliveries and certified scrum master preferred.
</li></ul><p></p><ul><li>Demonstrated understanding of software development lifecycle methodologies (SDLC).
</li></ul><p></p><ul><li>Experience in conducting testing including design and execution of test cases.
</li></ul><p></p><ul><li>Demonstrated capability to understand high volume / high complexity data structures to deliver analytics solutions that drive business insight and value.
</li></ul><p></p><ul><li>Excellent presentation design and delivery skills.
</li></ul><p></p><ul><li>Ability to lead/facilitate cross-functional teams and meetings.
</li></ul></div><p></p>A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer.This job requires one to be able to read, write, speak, and understand the English language.</div></div></div><p><b>
Additional Information</b></p><p>
Requisition Number: 230957</p><p>
Category: Information Systems</p><p>
Percentage of Travel: Up to 25%</p><p>
Shift: First</p><p>
Employment Type: Full-time</p><p>
Posting End Date: 02/25/2026</p><div>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div><div></div><p><br>
Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee.</p><p>
 Legal Information | Site Utilities | Contacts | Sitemap<br>
Copyright &copy; 2025 Gulfstream Aerospace Corporation. All Rights Reserved. A General Dynamics Company.</p><p><br>
Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft</p></div>

Reporting Developer Senior - Cloud Analytics Data Engineer Senior

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