Rackspace

As a Data Architect for Data, you are passionate about data and technology solutions and are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse &amp; data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.    In this role you will be helping to grow the Rackspace data practice in Southeast Asia.  You will be the expert in the region and support the delivery of our data projects on Azure.   As the local expert you’ll be involved in presenting to customers at events and promoting our capabilities to Azure.  With a large Azure data team of over 150 people in the region it is also an opportunity to mentor and shape the data practice during our growth phase.   More generally, Data Architect are the cornerstone of our delivery success, overseeing our most strategic accounts. They are empowered to make key delivery decisions and work closely with technical resources as well as our Engagement/Project Managers to ensure our customers experience successful outcomes.    The Data Architect needs to understand client's business and technology requirements within their domain, identify gaps, areas of opportunity, and design future state improvements and lead the team of data engineers and data analysts to deliver these with high quality and customer satisfaction.   <h3>Key Requirements: </h3><ul><ul><li>12+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud  </li><li>At least 5 full lifecycle data platform deployments on Azure using first party services for Data and Analytics</li><li>Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks,  </li><li>Extensive experience of Azure foundation and cloud engineering concepts including network, security, cost estimation, common IaaS and PaaS services and monitoring. </li><li>Strong Spark, SQL, Data Modeling, Data lakehouse concepts.  </li><li>Programming / scripting experience using python and scala.</li><li>6+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads  </li><li>4+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics  </li><li>5+ years working in cloud or multi-server complex environments.  Extensive experience with Azure is required.  </li><li>Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders  </li><li>Ability to deal with ambiguity by making the appropriate decisions considering the relative costs and benefits of potential actions.</li><li>Experience with Agile development methods in data-oriented projects  </li><li>Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)  </li><li>Certifications in architecture, data engineering and development from Azure is preferred  </li><li>Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket. </li></ul></ul><h3>Data Specialization: </h3><ul><ul><li>Lead, define and implement end-to-end modern data platforms on public cloud using 1st party services in support of analytics and AI use cases  </li><li>Collaborate with enterprise architects, data architects, ETL developers &amp; engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities  </li><li>Address aspects such as data privacy &amp; security, data ingestion &amp; processing, data storage &amp; compute, analytical &amp; operational consumption, data modeling, data virtualization, self-service data preparation &amp; analytics, AI enablement, and API integrations  </li><li>Be the technical liaison between customers and engineering teams  </li><li>Be a big data evangelist by educating a variety of customers on the value of cloud and data services </li><li>Ensure solutions are optimized for Azure’s ecosystem, utilizing services such as Azure Functions, Logic Apps, and Event Hubs. </li><li>Leverage Infrastructure-as-Code (IaC) tools like Terraform or Azure Resource Manager (ARM) for cloud resource management. </li><li>Implement enterprise-grade security solutions using Azure Security Center, Azure Policy, and Azure Key Vault. </li><li>Enforce data governance policies, including encryption standards, role-based access control (RBAC), and regulatory compliance (e.g., GDPR, HIPAA). </li><li>Conduct risk assessments and remediate vulnerabilities across the Azure environment. </li><li>Lead capacity planning and disaster recovery strategies to ensure uptime and business continuity. </li><li>Partner with security teams to proactively remediate vulnerabilities and enforce role-based access control (RBAC). </li><li>Act as a trusted advisor to clients, providing technical guidance on architecture improvements, cost optimizations, and emerging Azure features. </li><li>Deliver detailed operational reports and improvement plans, ensuring continuous service enhancement. </li></ul></ul><h3>General Consultancy: </h3><ul><ul><li>Present recommendations to clients using both written deliverables and face-to-face discussions  </li><li>Develop deep relationships with clients and act as the single point of contact for client executives on data engagements  </li><li>Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of Azure data offerings.  </li><li>Lead the professional services elements of relevant data proposals and RFP/RFI responses, including scope, effort, pricing models and SOW development.    </li><li>Guide customers during big data and cloud adoption by:  </li><li>Understanding drivers of technology change  </li><li>Building business cases to undertake technology change  </li><li>Lead discovery sessions with stakeholders, including interviews, document analysis, requirements workshops, surveys, client on-site visits, business process descriptions, use cases, scenarios, and data analysis for technology change  </li><li>Identify gaps in customer maturity and capabilities in relation to their data strategy.  </li><li>Identify areas of opportunity, and recommend future state improvements  .</li><li>Work with Engagement / Project Managers to plan the delivery of data projects, including budget, delivery resources, partner engagement, schedules and responsibilities.  </li><li>Accountable for the successful outcome of data and related engagements from both a delivery (schedule, deliverables etc.) and commercial (revenue realization, budget etc.) perspective.  </li><li>Lead the effort to find creative approaches to problem solving and identify, mitigate, or escalate delivery risks and issues.  </li></ul></ul><h3>Certifications: </h3><ul><ul><li>Microsoft Certified: Azure Solutions Architect Expert (preferred). </li><li>Microsoft Certified: Azure Security Engineer Associate (preferred). </li></ul></ul><h3>Preferred Skills: </h3><ul><ul><li>Experience with hybrid and multi-cloud environments. </li><li>Knowledge of DevOps principles and CI/CD tools such as Azure DevOps or GitHub Actions. </li><li>Familiarity with advanced analytics, AI, and machine learning use cases on Azure. </li></ul></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Bangalore

Data Architect

We are hiring for BI ( Data Engineer).<b>Exp </b>- 3+yrs<b>Notice period</b> - less than 30days only<b>Location </b>- Bangalore<b>BI (Oracle, Tableau) Data Engineer – Intermediate level</b>1.     <b>Database Development:</b> Design, develop, test, and implement high-performance <b>Oracle PL/SQL packages, procedures, functions, and triggers</b>. Optimize complex SQL queries for maximum efficiency  ( exposure to multiple Databases would be nice to have  )2.    <b>   BI Support:</b> Work closely with BI analysts to support reporting and dashboard needs, which includes preparing data structures and optimizing database performance for any <b>Business Intelligence tool</b>3.       production support exposure  , Monitor System Performance:  Automation &amp; Scripting using python, and Git.4.      Familiarity with cloud platforms (e.g., AWS, Azure, GCP) .We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

India

BI (Oracle, Tableau) Data Engineer

We are hiring for Big Data / Hadoop Engineer<b>Exp </b>- 3+yrs <b>Location </b>- Bangalore ( 3days WFO)<b>Notice Period </b>- Less than 30days only.    <b>Big Data Development:</b> Design, build, and maintain robust and scalable data pipelines for ETL/ELT processes using tools within the Hadoop ecosystem..    <b>Programming &amp; Scripting:</b> Develop complex data processing applications using <b>Spark</b> (with Python/Scala/Java) and implement efficient jobs using <b>Hive</b> and <b>Pig</b>..    <b>Hadoop Ecosystem Mastery:</b> Work extensively with core Hadoop components including <b>HDFS, YARN, MapReduce, Hive, HBase, Pig, Sqoop, and Flume</b>..    <b>Performance Tuning:</b> Optimize large-scale data processing jobs for speed and efficiency, troubleshooting performance bottlenecks across the cluster..    <b>Data Modeling:</b> Collaborate with data scientists and analysts to design and implement optimized data models for the data lake/warehouse (e.g., Hive schema, HBase column families)..    <b>Workflow Management:</b> Implement and manage job orchestration and scheduling using tools like <b>Oozie</b> or similar workflow managers..    <b>Operational Support:</b> Monitor, manage, and provide L2/L3 support for production Big Data platforms, ensuring high availability and reliability.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Big Data/Hadoop Engineer

<b>Redhat Linux                                                                                                        </b><b>Role Description: </b>To work in a 24X7 technology restoration and availability command center as Unix &amp; Web admin<b>Technical experience</b>: Primary Skills ( Linux/Unix Admin)<h3>Soft Skills required</h3><ul><ul><li>Good knowledge and experience on Redhat linux 7.x/8.x/9.x,Redhat Satellite, Ansible, Unix shells and scripting.</li><li>Good understanding of Unix/Linux booting process &amp; system startups.</li><li>Sound knowledge of services like NFS, NTP and utilities like tar, top, sar, ssh      </li><li>Hands-on experience on LVM, ZFS, UFS, SVM etc.</li><li>Working knowledge and experience of different types of storages (NAS/SAN)                    </li><li>Hands-on experience of Linux patching using Tanium/Redhat Satellite / YUM/other tools</li><li>Troubleshooting of boot issues, LVM issues etc.</li><li>Working knowledge of VMware / VPCs, AWS or Azure to manage the configuration and maintenance of System related tasks    </li><li>Server performance monitoring and analysis   </li><li>Good knowledge of ITSM process, adhere to SLA response      </li><li>Knowledge of Unix shell scripting would be an added advantage              </li><li>Working knowledge of DRP (disaster recovery plan) and BCP (business continuity plan)</li><li>Able to translate business requirements and needs into technical requirements</li><li>Configuration and maintenance of both UFS and ZFS file Systems            </li><li>Azure Experience on building VM’s/Maintenance work and BAU work.    </li><li>Good analytical skills and be able to correlate the issues; Good decision making            </li><li>Excellent problem solving and resolution skills</li><li>Promoting Process Improvement</li><li>Flexibility in work in night shifts</li><li>Self-starter; ability to begin working with minimal coaching.   </li><li>Strong communication skills. Provides information to others both internal and external to the organization</li><li> Able to work independently as well as part of a team on multiple overlapping issues                       </li></ul></ul>

Linux Admin III - IN

<b>Role -</b> Data Analyst <b>Skills </b>- Tableau , Power BI and SQL<b>Location</b> - Delhi NCR / Bangalore<b>Work type</b> - Hybrid ( 2 days from office )PS - Role is very critical and we are looking only for early joiners <b>Job Summary:</b>We are seeking a skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis and visualization, with proven experience in using Tableau and Power BI to transform data into actionable insights. This role requires  a detail-oriented individual who can work collaboratively to support data-driven decision-making across the organization. Experience with Streamsets and Databricks is considered an added advantage, with a focus on managing data pipelines and performing advanced  analytics.<h3>Key Responsibilities:</h3><ul><ul><li>Collect, analyze, and interpret large datasets to identify trends and patterns.  </li><li>Develop and maintain interactive dashboards and reports using Tableau and Power BI.   </li><li>Collaborate with cross-functional teams to understand their data needs and provide solutions.   </li><li>Ensure data accuracy and integrity by performing regular data quality checks.    </li><li>Present findings and insights to stakeholders in a clear and concise manner.    </li><li>Stay updated with the latest trends and best practices in data visualization and analytics.</li></ul></ul><h3>Qualifications:</h3><ul><ul><li>Minimum of 6 years of experience in data analysis and visualization.</li><li>Proficiency in Tableau and Power BI is required.</li><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.</li><li>Excellent communication skills, both written and verbal</li><li>Ability to work independently and as part of a team.</li><li>Experience with SQL and other data manipulation tools is a plus</li></ul></ul><h3>Preferred Skills:</h3><ul><ul><li>Experience in statistical analysis and predictive modeling.</li><li>Experience with Steamsets and Databricks is added advantage.</li></ul></ul><b>About Rackspace Technology</b>We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.  <b>More on Rackspace Technology</b>Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Senior Tableau Engineer - IN

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Job Position and Company	Location	Tags	Posted
Data Architect at Rackspace	Full Time Manager
BI (Oracle, Tableau) Data Engineer at Rackspace	Full Time
Big Data/Hadoop Engineer at Rackspace	Full Time
Linux Admin III - IN at Rackspace	Full Time
Senior Tableau Engineer - IN at Rackspace	Full Time Analyst

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