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azure data engineer

Data PlatformExperts

<p>permanent work from HomeWork Timing -4 PM -1 Am <b>Job Description:</b>We are looking for a skilled and motivated <b>AI Azure Data Engineer</b> with strong expertise in Microsoft Azure data services. The ideal candidate must have hands-on experience with <b>Databricks</b> or <b>Microsoft Fabric</b> and hold a valid certification in either. You will be responsible for designing, developing, and deploying scalable data pipelines, integrating AI/ML solutions, and supporting analytics platforms.<b>Key Responsibilities:</b></p><ul><li>Design and develop end-to-end data pipelines using Azure Data Factory, Databricks, or Microsoft Fabric.</li><li>Integrate structured and unstructured data from various sources into Azure data lakes or lakehouses.</li><li>Optimize and manage data pipelines for performance, scalability, and reliability.</li><li>Collaborate with Data Scientists and AI teams to deploy and operationalize ML models.</li><li>Implement data governance, quality, and security standards across pipelines.</li><li>Develop and maintain CI/CD pipelines for data projects using DevOps best practices.</li><li>Create data visualizations and support analytics teams using tools like Power BI.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Minimum <b>3+ years of experience</b> in data engineering with Azure ecosystem.</li><li>Strong proficiency in <b>Azure Data Factory, Azure Synapse, Azure Data Lake, Databricks</b>, or <b>Microsoft Fabric</b>.</li><li>Hands-on experience with <b>Spark</b>, <b>Python</b>, and <b>SQL</b>.</li><li>Experience in AI/ML model integration or support is a plus.</li><li>Proficiency in version control systems and DevOps tools.</li><li>Strong understanding of data modeling, data warehousing, and ETL processes.</li></ul><p><b>Certifications (Mandatory):</b></p><ul><li><b>Microsoft Certified:</b> Azure Data Engineer Associate</li></ul><p>OR</p><ul><li><b>Databricks Certified Data Engineer Associate/Professional</b></li></ul><p>OR</p><ul><li><b>Microsoft Fabric Analytics Engineer Associate</b></li></ul><p><b>Preferred:</b></p><ul><li>Experience with real-time data processing (e.g., Azure Stream Analytics, Kafka).</li><li>Exposure to AI services in Azure (e.g., Azure Cognitive Services, Azure ML).</li><li>Strong problem-solving and communication skills.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;500,000.00 - &#8377;1,000,000.00 per year</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Application Question(s):</p><ul><li>Are you ok with work timings 4 pm to 1 am (Midnight )permanent work from Home ?</li><li>How much notice period do you have ?</li><li>What is your expected CTC ?</li></ul><p>Experience:</p><ul><li>Azure: 4 years (Required)</li><li>Microsoft Fabric: 3 years (Required)</li><li>Databricks: 3 years (Required)</li></ul><p>Work Location: Remote</p>

Azure Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Job : Azure Data Engineer
</div><div>Exp : 5 to 10 yrs
</div><div>Location : Chennai
</div><div>Job Description:
</div><div><div><ul><li>Experience in Pyspark and Azure Databricks.</li></ul>
<ul><li>Proficiency in integrating, transforming and consolidating data from various structured and unstructured data sources.</li></ul>
<ul><li>Good experience in SQL or native SQL query languages. Strong experience in implementing Databricks notebooks using Python.</li></ul>
<ul><li>Good experience in Azure Data Factory, ADLS, Storage Services, Synapse, Serverless architecture, Azure functions.</li></ul>
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Chennai</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>384622</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>

Enable Data

Enable Data Incorporated is currently seeking a skilled and experienced Azure Data Engineer to join our dynamic team. As a leading provider of advanced application, data, and cloud engineering services, Enable Data has developed deep expertise across various industries. We work closely with our customers to leverage modern solutions and technologies to drive increased value across their business ecosystem.
<br>As an Azure Data Engineer, you will play a crucial role in designing, building, and maintaining scalable and reliable data solutions on the Microsoft Azure platform. You will work closely with cross-functional teams to understand data requirements, design and implement data ingestion pipelines, perform data integration and transformation, and implement data storage and retrieval mechanisms. You will also be responsible for monitoring data pipelines and implementing data quality and governance measures.
<br>This is an exciting opportunity for a talented Data Engineer who is passionate about working with Azure technologies and wants to contribute to the success of our clients. If you have strong technical skills, a deep understanding of data engineering principles, and hands-on experience with Microsoft Azure, we would love to hear from you.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Design, develop, and implement scalable and reliable data solutions on the Microsoft Azure platform.</li>
<li>Collaborate with cross-functional teams to gather and analyze data requirements.</li>
<li>Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.</li>
<li>Perform data integration and transformation activities, ensuring data quality and consistency.</li>
<li>Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.</li>
<li>Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.</li>
<li>Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.</li>
<li>Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>5+ years of experience with Big Data technologies</li>
<li>Strong knowledge and experience with Microsoft Azure cloud platform</li>
<li>Proficiency in SQL and experience with SQL-based database systems.</li>
<li>Experience with batch and data streaming.</li>
<li>Proficiency in data processing frameworks such as Apache Spark, Apache Hadoop, or cloud-native data processing services (Azure Data Lake, Azure Data factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB)</li>
<li>Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.</li>
<li>Experience using Azure Databricks in real-world scenarios.</li>
<li>Experience with data integration and ETL (Extract, Transform, Load) processes.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Good understanding of data engineering principles and best practices.</li>
<li>Experience with programming languages such as Python or Scala.</li>
<li>Relevant certifications in Azure data services or data engineering are a plus.</li>
</ul>


Bridgenext

<div><h2 class="jobSectionHeader"><b>Azure Data Engineer</b></h2>
<div><b>Job ID:</b> Azu-ETP-Pun-1226</div>
<p><b>Location:</b> Pune,Other</p>
<div><p><b>Job Summary: </b>We are seeking a skilled and experienced Azure Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure cloud platform. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks. The Azure Data Engineer will collaborate with cross-functional teams to ensure the successful delivery of scalable and efficient data solutions.</p><p></p><p><br>
Minimum 3-6 Years of Experience in Data Integration platform on cloud (Azure preferred)</p><p></p><p><b><br>
Responsibilities:</b></p><ul><li><b>
Solution Design and Architecture:</b></li><li>
Collaborate with stakeholders to understand business requirements and design scalable data solutions on the Azure platform.</li><li>
Create and maintain data architecture diagrams and documentation.</li><li><b>
Data Ingestion and ETL:</b></li><li>
Develop and implement ETL processes using Azure Data Factory, Azure Databricks, and other relevant tools.</li><li>
Design and optimize data pipelines to ensure efficient data processing and transformation.</li><li><b>
Data Storage and Management:</b></li><li>
Implement and manage Azure SQL Database, Azure Data Lake Storage, and other Azure data storage solutions.</li><li>
Ensure data integrity, security, and compliance with industry best practices and organizational standards.</li><li><b>
Data Transformation and Processing:</b></li><li>
Utilize Azure Databricks and other tools for data transformation and processing.</li><li>
Optimize queries and data processing workflows for performance and efficiency.</li><li><b>
Monitoring and Optimization:</b></li><li>
Implement monitoring solutions to track the performance and health of data solutions.</li><li>
Identify and resolve performance bottlenecks and optimize data processing workflows.</li><li><b>
Collaboration and Communication:</b></li><li>
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.</li><li>
Communicate effectively with technical and non-technical audiences, providing insights and recommendations.</li><li><b>
Automation and Scripting:</b></li><li>
Develop scripts and automation processes to streamline data engineering tasks.</li><li>
Implement infrastructure as code (IaC) for managing Azure resources.</li></ul><p><b>
Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
Proven experience as a Data Engineer with a focus on Azure cloud technologies.</li><li>
In-depth knowledge of Azure Data Factory, Azure SQL Database, Azure Databricks, and other relevant Azure services.</li><li>
Strong proficiency in SQL, Python, and/or other scripting languages.</li><li>
Experience with data modeling, schema design, and database performance tuning.</li><li>
Familiarity with data warehousing concepts and best practices.</li><li>
Excellent problem-solving and analytical skills.</li><li>
Effective communication and collaboration skills.</li><li>
Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.</li></ul><p>
If you meet these qualifications and are excited about the opportunity to work with cutting-edge Azure technologies to solve complex data challenges, we encourage you to apply. Join our team and be a key contributor to the success of our data-driven initiatives.</p></div></div>

<div><h2 class="jobSectionHeader"><b>Azure Data Engineer</b></h2>
<div><b>Job ID:</b> Azu-ETP-Pun-1199</div>
<p><b>Location:</b> Pune,Other</p>
<div><p><b>Job Summary: </b>We are seeking a skilled and experienced Azure Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure cloud platform. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks, MDM process implementation and other relevant technologies. The Azure Data Engineer will collaborate with cross-functional teams to ensure the successful delivery of scalable and efficient data solutions.</p><p></p><p><br>
Minimum 5-8 Years of Experience in Data Integration platform on cloud (Azure preferred)</p><p></p><p><b><br>
Responsibilities:</b></p><ul><li><b>
Solution Design and Architecture:</b></li><li>
Collaborate with stakeholders to understand business requirements and design scalable data solutions on the Azure platform.</li><li>
Create and maintain data architecture diagrams and documentation.</li><li><b>
MDM Tool &amp; System Management</b></li><li>
Configure and maintain the MDM platform (e.g., Profisee) including data models, matching rules, survivorship logic, and hierarchy management.</li><li>
Oversee the integration and synchronization of master data between the MDM hub and consuming systems (e.g., ERP, CRM, BI tools).</li><li>
Act as the main point of contact for resolving complex master data issues and system errors.</li><li><b>
Data Ingestion and ETL:</b></li><li>
Develop and implement ETL processes using Azure Data Factory, Azure Databricks, and other relevant tools.</li><li>
Design and optimize data pipelines to ensure efficient data processing and transformation.</li><li><b>
Data Storage and Management:</b></li><li>
Implement and manage Azure SQL Database, Azure Data Lake Storage, and other Azure data storage solutions.</li><li>
Ensure data integrity, security, and compliance with industry best practices and organizational standards.</li><li><b>
Data Transformation and Processing:</b></li><li>
Utilize Azure Databricks and other tools for data transformation and processing.</li><li>
Optimize queries and data processing workflows for performance and efficiency.</li><li><b>
Monitoring and Optimization:</b></li><li>
Implement monitoring solutions to track the performance and health of data solutions.</li><li>
Identify and resolve performance bottlenecks and optimize data processing workflows.</li><li><b>
Collaboration and Communication:</b></li><li>
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.</li><li>
Communicate effectively with technical and non-technical audiences, providing insights and recommendations.</li><li><b>
Automation and Scripting:</b></li><li>
Develop scripts and automation processes to streamline data engineering tasks.</li><li>
Implement infrastructure as code (IaC) for managing Azure resources.</li></ul><p><b>
Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
Proven experience as a Data Engineer with a focus on Azure cloud technologies.</li><li>
In-depth knowledge of Azure Data Factory, Azure SQL Database, Azure Databricks, and other relevant Azure services.</li><li>
Strong proficiency in SQL, Python, and/or other scripting languages.</li><li>
Experience with data modeling, schema design, and database performance tuning.</li><li>
Familiarity with data warehousing concepts and best practices.</li><li>
Excellent problem-solving and analytical skills.</li><li>
Effective communication and collaboration skills.</li><li>
Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.</li></ul><p>
If you meet these qualifications and are excited about the opportunity to work with cutting-edge Azure technologies to solve complex data challenges, we encourage you to apply. Join our team and be a key contributor to the success of our data-driven initiatives.</p></div></div>

<div></div><div><div><div><div><div>Role-Azure Data Engineer</div>
<div>
Exp- 5 to 10 years</div>
<div>
Job Description:</div>
<div>
Experience in data engineering</div>
<ul><li>Strong programming skills in PySpark, Python, and Scala.</li></ul>
<ul><li>experience in Scala backend development.</li></ul>
<ul><li>Proficient in Scala, both object oriented and functional programming concepts.</li></ul>
<ul><li>Solid understanding of data lakes, lakehouses, and Delta Lake concepts.</li></ul>
<ul><li>Experience in SQL development and performance tuning. Proficient in cloud services (e.g. S3, Glue, Lambda, EMR, Redshift, CloudWatch, IAM).</li></ul>
<ul><li>Experience in CI/CD tools like Jenkins, GitHub Actions, or Code Pipeline.</li></ul>
<ul><li>Develop and maintain scalable data pipelines using Apache Spark on Databricks.</li></ul>
<ul><li>Build end-to-end ETL/ELT pipelines on AWS/GCP/Azure using services like S3, Glue, Lambda, EMR, and Step Functions.</li></ul>
<ul><li>Design and implement data models, schemas, and Lakehouse architecture in Databrick/Snowflake</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>384635</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 TECHNOLOGY</div></div></div><div></div>

CAI (Computer Aid, Inc.)

<b>Req number:</b> R6811
<br><br>
<b>Employment type:</b> Full time
<br><br>
<b>Worksite flexibility:</b> Hybrid Who we are
<br>CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
<br><br>
Job Summary We are looking for a motivated Data Engineer ready to take us to the next level! If you understand Databricks, Python, Azure Data Services, Azure DevOps, and API integrations and are looking forward to your next career move, apply now
<br><br>
Job Description
<br>We are looking for Data Engineer . This position will be full-time and Hybrid Bangalore.
<br><br>
What You’ll Do
<br>Design, build, and optimize data ingestion and ETL/ELT pipelines using Azure Databricks and Azure Data Factory.
<br>Work extensively with Delta Lake, Structured Streaming, and Lakehouse architecture.
<br>Develop scalable PySpark and Python transformation logic for batch and streaming workloads.
<br>Design and maintain data models (Dimensional, SCD Types 1 & 2, Lakehouse schemas).
<br>Manage data storage using Azure Data Lake Gen2, Delta tables, and Parquet formats.
<br>Integrate with REST/Graph/Custom APIs for data access and ingestion, including OAuth or managed authentication flows.
<br>Implement CI/CD pipelines for data solutions using Azure DevOps (Repos, Pipelines, Release automation).
<br>Implement strong security practices RBAC, Key Vault, managed identities, network security.
<br>Maintain documentation, knowledge sharing, and best practices across the team.
<br>Knowledge of CI/CD for Databricks using Databricks Asset Bundles / DABs.
<br><br>
What You'll Need
<br><br>
<b>Required:</b><br>
7–8 years of total experience in Data Engineering.
<br>Azure Databricks (Jobs, Workflows, SQL Warehouses, Unity Catalog).
<br>Python / PySpark.
<br>Azure Data Factory & Azure Data Lake Storage.
<br>Azure DevOps (Git branching, CI/CD pipelines).
<br>API integration (REST, Graph API, token-based auth).
<br>Strong command of SQL performance tuning, CTEs, window functions.
<br>Knowledge of distributed systems, partitioning, and big data processing.
<br>Experience with Delta Lake principles (ACID, time travel, vacuum, Z-ordering).
<br>Understanding of Data Governance concepts.
<br><br>
<b>Preferred Skills (Nice to Have):</b><br>
Experience with Event-driven architecture (Kafka/Event Hub).
<br>Knowledge of python backend.
<br><br>
Physical Demands
<br>Sedentary work that involves sitting or remaining stationery most of the time with occasional need to move around the office to attend meetings, etc.
<br>Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor.
<br><br>
Reasonable accommodation statement
<br>If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

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Azure Data Engineer