azure engineer

NTT DATA

<div><b>Req ID:</b> 332451
<br>
<br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
<br>
We are currently seeking a Azure Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).<br>
<ul><li><ul><li><b>
Technical Expertise:</b></li></ul><br>
Highlighted in <b>bold </b>below are the top 3 mandatory skills required for this position<br>
<br>
<b>Area</b><br>
<br>
<b>Skills</b><br>
<br>
<b>Azure Infrastructure</b><br>
<br>
<b>VM setup &amp; scaling, managed disks, load balancer, Application Gateway, storage accounts (blob/file), monitoring</b><br>
<br>
Networking in Azure<br>
<br>
VNet, NSG, subnet configuration, VNet peering, route tables, hybrid network setup<br>
<br>
Azure DevOps &amp; CI/CD<br>
<br>
Classic/YAML pipelines, multi-stage deployment flows, variable groups, rollback/retry logic<br>
<br>
<b>Azure Cognitive Search</b><br>
<br>
<b>Index creation/management, performance, scaling, throttling mitigation</b><br>
<br>
<b>Azure Functions</b><br>
<br>
<b>Trigger types (Timer, HTTP, Blob), scaling options, troubleshooting, deployment via pipeline or portal, logging</b><br>
<br>
Monitoring &amp; Logging<br>
<br>
Azure Monitor, App Insights, Log Analytics, KQL, alert rules, diagnostics settings, proactive incident handling<br>
<br>
Maintenance &amp; Security<br>
<br>
Token/cert renewals, Azure Key Vault use, automation via runbooks or pipelines, access management<br>
<br>
Automation &amp; Scripting<br>
<br>
PowerShell, Azure CLI, ARM templates, Terraform, Key Vault secret automation<br>
<br>
Integration<br>
<br>
Knowledge of Event Grid, Logic Apps, storage queues for component integration<br>
<br>
Databricks / Data Layer<br>
<br>
Understanding of Databricks compute setup, Spark clusters, integration with Azure Functions or SQL<br>
<ul><li><b>
Soft Skills &amp; Collaboration:</b></li></ul><br>
<b>
Area</b><br>
<br>
<b>Expected Behaviour</b><br>
<br>
Proactive Ownership<br>
<br>
Doesn't wait for issues to be raised, monitors systems and takes initiative<br>
<br>
Stakeholder Handling<br>
<br>
Can work under pressure with demanding business units (e.g. Italy BU)<br>
<br>
Structured Communication<br>
<br>
Can explain issues clearly, gives regular updates, documents properly, follows up regularly<br>
<br>
Collaboration<br>
<br>
Works well with squads, not siloed, shares knowledge and supports peers<br>
<br>
On-call/Support Readiness<br>
<br>
Cover critical incidents outside hours (e.g. rarely may be 1-2 hr Saturdays)<br>
<br>
Fast Learner<br>
<br>
Adapts quickly to new tools and situations
<br>
<ul><li><b>Example Activities :</b></li></ul><br>
<ul><li>
Troubleshooting failed deployments due to config errors, full VMs, or broken pipelines</li><li>
Creating and deploying Function Apps with indexing logic for Azure Cognitive Search</li><li>
Managing VNet and NSG configurations to allow connectivity between components</li>
Set up new blob storage, VMs, and Function Apps across environments (DEV<li> PROD)</li><li>
Monitoring and mitigating Azure Cognitive Search throttling incidents before users raise tickets</li><li>
Automating cert/token renewals and monitoring them via scheduled scripts or alerts</li><li>
Collaborating with Dev, and Infra teams to prepare environments for monthly releases</li><li>
Usually rarely (1-2/month but we had months with none required): Supporting Saturday deployments and/or on-call during high-demand or critical periods</li></ul></li></ul><br>
<b>
About NTT DATA</b><br>
<br>
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com<br>
<br>
<b>NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. </b><b>This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</b></div>

Azure Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>Inviting Applications for Azure Data Engineer</p>
<p><b>
Job description:</b></p>
<p>
Job Title: Azure DataEngineer</p>
<p>
Location: Bangalore</p>
<p>
Experience Range: 5-10 yrs</p>
<p><b>
JD:</b></p><br>
<p></p>
<ul>
<li>3+ years of relevant experience in Pyspark and Azure Databricks. &middot; Proficiency in integrating, transforming, and consolidating data from various structured and unstructured data sources. &middot; Good experience in SQL or native SQL query languages. &middot; Strong experience in implementing Databricks notebooks using Python. &middot; Good experience in Azure Data Factory, ADLS, Storage Services, Serverless architecture, Azure functions. &middot; Advanced working knowledge in building robust data pipelines using ADF</li>
</ul></div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>381880</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Azure Data Engineer

Mind Stream

<p>We are seeking a highly skilled <b>Azure Data Engineer</b> with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in <b>Azure Databricks, Data Factory, Data Lake Storage</b>, and <b>Event Hub</b>, along with strong programming and data engineering skills.</p><p>Required Skills and Qualifications:</p><ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

vlitechnologies

<p>Role: Azure Data Engineer (Contractual)</p><ul><li>Eperience: 8+ Years</li><li>Shift Timing: 11:00 AM &ndash; 8:00 PM</li><li>Budget: 80k - 1L</li><li>Location: Remote</li><li>UAN: Not Mandatory</li><li>Education: B.Tech in Computer Science (Mandatory)</li></ul><p>Technical Skills Required</p><p>Advanced SQL, Azure Data Factory (ADF), Databricks (with PySpark)</p><p>Experience with Azure Synapse (added advantage)</p><p>Strong understanding of Big Data processing approaches and schema-on-read methodologies</p><p>Hands-on experience with Azure Data Factory, Azure Databricks (PySpark), and Azure Data Lake Storage (ADLS Gen2)</p><p>Strong development and coding experience in Python (mandatory &ndash; PySpark) and SQL</p><p>Knowledge of Power BI DAX (good to have)</p><p>Proven experience in implementing robust ETL/ELT pipelines within Azure Data Factory or Azure Synapse Pipelines</p><p>Exposure to reporting tools like Power BI or Tableau is a plus</p><p>Onboarding Requirements:-</p><p>If selected, please be ready to share:</p><p>&middot; Aadhar Card</p><p>&middot; PAN Card</p><p>&middot; Educational Certificates</p><p>&middot; Experience Letters</p><p>&middot; LinkedIn Profile (Need to show currently working as TalentTwins Technologies/Confidential)</p><p>&middot; No JNTU University resource allowed</p><p>Company Terms &amp; Conditions</p><p>&middot; Contract: 6+ months (extendable)</p><p>Monthly budget: As per discussion (INR)</p><p>Work commitment during business hours is mandatory</p><p>Invoice-based payment: Paid within 35&ndash;40 days post-invoice (month-end)</p><p>10% TDS deduction applicable</p><p>NDA &amp; compliance documentation required upon selection</p><p>No backouts post-confirmation &ndash; acceptance will be treated as a firm commitment</p><p>Best,</p><p>Job Type: Contractual / Temporary</p><p>Pay: &#8377;90,000.00 per month</p><p>Experience:</p><ul><li>Azure Data engineer : 9 years (Required)</li></ul><p>Work Location: Remote</p>

Mobileprogramming

<p><b>Job Summary:</b></p><p>We are looking for a talented and experienced <b>Azure Data Engineer</b> to join our data engineering team in <b>Bangalore</b>. As an Azure Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines, and working with Azure-based data services to ensure the seamless flow of data for analytical and operational purposes. The ideal candidate will have a strong understanding of <b>Azure data platforms</b>, data engineering practices, and be proficient in creating and optimizing data solutions using <b>Azure Data Factory</b>, <b>Azure Synapse Analytics</b>, <b>Azure SQL Database</b>, and other related Azure services.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Data Pipeline Development:</b> Design, develop, and maintain efficient and scalable data pipelines in <b>Azure Data Factory (ADF)</b> to integrate data from multiple sources, process data, and load it into target systems.</li><li><b>Data Integration:</b> Work with various data sources like <b>SQL</b>, <b>NoSQL</b>, <b>Blob Storage</b>, and <b>data lakes</b> to ingest and process data in an efficient and scalable manner.</li><li><b>Azure Data Services:</b> Utilize <b>Azure Synapse Analytics</b>, <b>Azure Data Lake</b>, <b>Azure SQL Database</b>, <b>Cosmos DB</b>, and other Azure services to build and optimize data architecture and storage solutions.</li><li><b>ETL/ELT Development:</b> Implement both <b>ETL (Extract, Transform, Load)</b> and <b>ELT (Extract, Load, Transform)</b> processes using Azure tools, ensuring data is processed accurately and efficiently.</li><li><b>Data Warehousing:</b> Design and maintain cloud-based <b>data warehousing</b> solutions using <b>Azure Synapse Analytics</b> (formerly Azure SQL Data Warehouse) to support reporting, analytics, and data-driven decision-making.</li><li><b>Performance Tuning:</b> Optimize performance of data pipelines and processes, ensuring they run efficiently, and troubleshoot performance issues.</li><li><b>Data Modeling &amp; Management:</b> Develop data models for large datasets, ensuring proper schema design, partitioning, indexing, and data governance.</li><li><b>Automation &amp; Monitoring:</b> Set up automated processes for data pipeline monitoring, error handling, and logging to ensure high data quality and reliability.</li><li><b>Security &amp; Compliance:</b> Ensure that the data solutions are secure and comply with data privacy regulations (e.g., GDPR, HIPAA) using <b>Azure Security</b> features and best practices.</li><li><b>Collaboration:</b> Collaborate with data scientists, business analysts, and stakeholders to understand data needs and ensure alignment of data engineering solutions with business objectives.</li><li><b>Documentation:</b> Maintain comprehensive documentation for data architecture, pipelines, data models, and best practices.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Engineering, or a related field (or equivalent experience).</li><li><b>5+ years</b> of experience in <b>data engineering</b>, with at least <b>3 years</b> of hands-on experience working with <b>Azure data platforms</b>.</li><li>Strong proficiency in <b>Azure Data Factory (ADF)</b>, <b>Azure Synapse Analytics</b>, <b>Azure SQL Database</b>, and <b>Azure Data Lake</b>.</li><li>Solid understanding of <b>ETL</b> and <b>ELT</b> processes and experience with building data pipelines on the cloud.</li><li>Proficient in <b>SQL</b> and experience with query optimization and performance tuning.</li><li>Experience with <b>Azure Databricks</b>, <b>HDInsight</b>, <b>Cosmos DB</b>, and other Azure-based data technologies is a plus.</li><li>Familiarity with <b>Data Lake</b> architectures and the ability to implement solutions for large-scale data processing.</li><li>Strong knowledge of <b>data modeling</b>, <b>data warehousing</b>, and <b>data governance</b> practices.</li><li>Experience working with <b>cloud storage solutions</b>, including <b>Blob Storage</b> and <b>Data Lake Storage</b>.</li><li>Knowledge of <b>Power BI</b>, <b>Azure Analysis Services</b>, or similar tools for data visualization and reporting is a plus.</li><li>Experience with <b>Python</b>, <b>Spark</b>, or <b>Scala</b> for data processing is highly desirable.</li><li>Familiarity with <b>DevOps</b> practices and tools (e.g., <b>Azure DevOps</b>) for data engineering deployments is a bonus.</li><li>Understanding of <b>data security</b> and <b>compliance</b> frameworks in cloud environments.</li></ul><p><b>Preferred Skills (Nice to Have):</b></p><ul><li><b>Azure Certification</b> such as <b>Microsoft Certified: Azure Data Engineer Associate</b>.</li><li>Experience with <b>machine learning models</b> and <b>AI workflows</b> integrated with Azure data services.</li><li>Exposure to <b>Big Data</b> technologies such as <b>Hadoop</b>, <b>Spark</b>, or <b>Kafka</b>.</li><li>Familiarity with <b>Agile</b> development methodologies.</li><li>Knowledge of <b>CI/CD pipelines</b> for automating deployments of data engineering solutions.</li><li>Experience with <b>DataOps</b> for better management of data pipelines.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;900,000.00 - &#8377;1,200,000.00 per year</p><p>Work Location: In person</p>

<div></div><div><div><div><div><p>Hiring Azure Data engineer with 5+ years of experience for PAN India</p>
<p>
Required Technical Skillset - Azure, Databricks, Data build tool (DBT)</p>
<p>
Job Description</p><br>
<p></p>
<p>
Role Overview:</p>
<p>
We are seeking a Data Engineer with strong expertise in dbt (Data Build Tool) as the primary skill and Databricks as a secondary capability. The role focuses on building scalable data transformation workflows, ensuring data quality, and enabling analytics through modern data stack practices.</p><br>
<p></p>
<p>
Shape</p><br>
<p></p>
<p>
Key Responsibilities</p><br>
<p></p>
<p>
Data Modeling and Transformation:</p>
<p>
Design, build, and maintain robust and scalable data models using dbt and SQL. Create reusable transformations and ensure data is structured for efficient analysis.</p><br>
<p></p>
<p>
Pipeline Development:</p>
<p>
Develop and optimize ELT pipelines, leveraging dbt for transformations and Databricks for compute and orchestration when needed.</p><br>
<p></p>
<p>
Quality Assurance:</p>
<p>
Implement and manage data quality tests within dbt to ensure data integrity, accuracy, and consistency.</p><br>
<p></p>
<p>
Documentation and Governance:</p>
<p>
Maintain comprehensive documentation for dbt models, data lineage, and dependencies.</p><br>
<p></p>
<p>
CI/CD and Version Control:</p>
<p>
Apply software engineering best practices using Git and set up CI/CD pipelines for automated dbt project deployments.</p><br>
<p></p>
<p>
Collaboration:</p>
<p>
Partner with data analysts, data scientists, and business stakeholders to deliver clean, reliable datasets for BI and ML use cases.</p><br>
<p></p>
<p>
Shape</p><br>
<p></p>
<p>
Essential Skills</p><br>
<p></p>
<p>
Technical Skills:</p><br>
<p></p>
<p>
dbt (Primary):</p>
<p>
Hands-on expertise with dbt Core and dbt Cloud, including writing models, tests, macros, and using the CLI.</p><br>
<p></p>
<p>
SQL:</p>
<p>
Expert-level proficiency in writing complex, efficient SQL queries for data transformation.</p><br>
<p></p>
<p>
Databricks (Secondary):</p>
<p>
Experience with Azure Databricks for data processing and orchestration. Familiarity with Spark is a plus.</p><br>
<p></p>
<p>
Azure Data Platform:</p>
<p>
Knowledge of Azure Synapse Analytics, Azure Data Lake Storage, and Azure Data Factory.</p><br>
<p></p>
<p>
Programming:</p>
<p>
Proficiency in Python for scripting and pipeline automation. Familiarity with Jinja for dbt templating.</p><br>
<p></p>
<p>
Data Warehousing:</p>
<p>
Strong understanding of dimensional modeling, star/snowflake schemas, and data warehousing concepts.</p><br>
<p></p>
<p>
Version Control &amp; DevOps:</p>
<p>
Experience with Git and CI/CD tools (Azure DevOps or similar).</p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>378830</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

<div></div><div><div><div><div><p><b>Job description:</b></p>
<p>Job Title: Azure Devops Engineer</p>
<p>Location: Hyderabad</p>
<p>Experience Range: 6-8 yrs</p>
<p><b>JD:</b></p>
<ul><li>Experience working in Microsoft Azure.</li>
<li>Understanding of Azure DevOps Pipelines, CI/CD practices, and Infrastructure as Code (IaC)</li>
<li>Knowledge in implementing and managing DevOps tools such as Git, Azure DevOps, Swagger, Selenium, JMeter- Scripting skills.</li>
<li>Experience with terraform is good to have.<br>
Strong scripting skills is a must.<br>
Create and maintain CI/CD pipelines and other automation tools.<br>
Work with engineers to support product development from inception to release.</li>
</ul></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>374411</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS | DevOps</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Devops Engineer

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