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azure data engineer

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>


Azure Data Engineer

Markitzen

<p><b>Job Title: Azure Data Engineer</b></p><p><b>Experience:</b> 7 &ndash; 10 years</p><p><b>Location</b>: Noida</p><p><b>Budget:</b> Up to &#8377;25 LPA</p><p><b>Employment Type:</b> Full-Time</p><p><b>Role Overview:</b></p><p>We are seeking an experienced Azure Data Engineer responsible for designing, implementing, and optimizing cloud-based data pipelines and architectures using Azure Data Factory (ADF), Synapse Analytics, and ADLS. The candidate will collaborate closely with analytics and data science teams to build end-to-end business intelligence (BI) solutions, mentor junior developers, and ensure data quality, performance, and compliance across large-scale environments.</p><p><b>Key Responsibilities:</b></p><p>Collaborate with business analytics and data science teams to gather requirements and deliver end-to-end BI solutions.</p><p>Design, develop, and optimize data pipelines using Hadoop, Spark, and Azure data services (Blob Storage, SQL Database, Event Hubs, ADF, Synapse Analytics, Databricks).</p><p>Develop and maintain data models and curated datasets for analytics and reporting.</p><p>Write and maintain high-quality code using SQL, Python, Scala, and automation tools (PowerShell, Azure CLI).</p><p>Implement and enforce data governance, security, and compliance measures in collaboration with privacy teams.</p><p>Troubleshoot and tune query performance, data ingestion pipelines, and resource utilization.</p><p>Drive operational excellence by implementing best practices for scalable and cost-effective cloud data architectures.</p><p>Stay current with emerging Big Data and Cloud technologies and apply innovations to improve data solutions.</p><p>Provide mentorship and guidance to junior engineers and data developers.</p><p><b>Required Qualifications:</b></p><p>Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</p><p>10+ years of experience in data architecture, engineering, or BI.</p><p>Minimum 5 years of hands-on experience with distributed systems like Hadoop, Spark.</p><p>Proven expertise in Azure ecosystem, including Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, HDInsight.</p><p>Strong programming proficiency in Python, Java, or Scala.</p><p>Deep understanding of data modeling, metadata management, and SQL performance tuning.</p><p>Excellent analytical, problem-solving, and communication skills.</p><p>Experience using BI reporting tools (e.g., Power BI, Tableau).</p><p><b>Preferred Skills:</b></p><p>Hands-on experience with Databricks for data transformation and analytics.</p><p>Knowledge of well-architected, fault-tolerant data pipeline design principles.</p><p>Experience designing cost-optimized and scalable cloud data solutions.</p><p>Familiarity with Machine Learning, Generative AI, and LLM integrations.</p><p>Relevant Microsoft Azure certifications (Data Engineer, Solutions Architect, or AI Engineer).</p><p><b>Work Mode:</b></p><p>Work from Office (Noida)</p><p><b>Notice Period:</b></p><p>Immediate Joiners preferred</p><p><b>Shift Timings:</b></p><p>General Shift</p><p>Job Types: Full-time, Permanent</p><p>Pay: Up to &#8377;2,500,000.00 per year</p><p>Work Location: In person</p>

ProClink

<div><div><b>Job Title: Azure Data Engineer</b></div><div><b>
Location:</b> Hyderabad</div><div><b>
Job Type:</b> Full-Time</div><div></div><div><b><br>
Job Summary:</b> As an Azure Data Engineer, you will design, build, and maintain data solutions on Microsoft Azure, leveraging your expertise in SQL and MySQL to ensure high-quality data availability for analysis and reporting. You will collaborate closely with cross-functional teams to meet data needs and enhance decision-making capabilities.</div><div></div><div><b><br>
Key Responsibilities:</b></div><div><b>
Data Pipeline Development:</b> Design and implement ETL processes using Azure Data Factory and Azure Databricks, ensuring data integration from various sources.</div><div><b>
Database Management:</b> Develop and maintain relational databases using SQL and MySQL, ensuring optimal performance and reliability.</div><div><b>
Data Modelling:</b> Create and maintain data models to support analytical needs, ensuring data is structured for efficient querying and reporting.</div><div><b>
Query Optimization:</b> Write and optimize complex SQL queries for data retrieval and reporting, improving performance and efficiency.</div><div><b>
Collaboration:</b> Work with data scientists, analysts, and business stakeholders to understand data requirements and ensure data quality.</div><div><b>
Security and Compliance:</b> Implement data governance practices and ensure compliance with data protection regulations.</div><div><b>
Documentation:</b> Create and maintain comprehensive documentation for data pipelines, databases, and architectural designs.</div><div></div><div><b><br>
Qualifications:</b></div><div>
Bachelor&rsquo;s degree</div><div>
3+ years of experience in data engineering or related roles.</div><div>
Strong proficiency in Microsoft Azure services, particularly Azure Data Factory, Azure Databricks, Azure SQL Database.</div><div>
Familiarity with AWS services will be advantageous in our multi-cloud environment.</div><div>
Extensive experience with SQL and MySQL, including database design, optimization, and data manipulation.</div><div>
Familiarity with programming languages such as Python or spark for data processing and analysis.</div><div>
Understanding of data warehousing concepts and big data technologies (e.g., Hadoop, Spark) is a plus.</div><div>
Experience with data governance and data quality best practices.</div><div>
Excellent problem-solving skills and attention to detail.</div><div>
Strong communication skills and ability to work collaboratively in a team environment.</div><div></div><div><b><br>
Preferred Qualifications:</b></div><div>
Microsoft Azure Data Engineer certification.</div><div>
Experience with real-time data processing and stream analytics.</div><div>
Knowledge of machine learning concepts and tools.</div></div><div></div>

Clean Harbors

<div><p><b>About CleanHarbors</b></p>
<p>
Clean Harbors Inc. (www.cleanharbors.com) is a NYSE listed US based $5.6 billion company. Clean Harbors was founded in 1980 near Boston by Mr. Alan S. McKim, who today remains the company&rsquo;s Chairman and CTO. Everywhere industry meets environment, Clean Harbors is on-site, providing premier environmental, energy and industrial services. Clean Harbors employs a dedicated workforce of 22,000 employees and has over 450 service locations across the U.S., Canada and Mexico. Beyond addressing the environmental needs of its more than 300,000 customers, the Company has been on the front lines of addressing some of the largest emergency response events in North America of the past several decades including the BP Oil Spill in the Gulf of Mexico, the anthrax attacks in New York, the 2015 avian flu outbreak that devastated the poultry industry, Hurricanes Katrina, Rita and Sandy, and the oil pipeline breaks that affected the Yellowstone and Kalamazoo rivers, along with other major chemical releases into the environment.</p>
<p>
Clean Harbors India has been strategically established as the Global Capability Center (GCC) to serve our parent company. We take pride in serving some of the most tech savvy business stakeholders at Clean Harbors. The GCC employees form part of our globally integrated teams that provide cutting-edge IT solutions and production support across platforms. Our shared services teams work seamlessly with their global counterparts in providing critical 24x7 support in various functions including Finance, HR, Procurement, IT and Operations. Our aggressive growth plans open significant career advancement opportunities for our employees</p><p><b>
RESPONSIBILITIES</b></p><p>
The Data Engineer will be responsible for designing, implementing, and managing data solutions on the Microsoft Azure cloud platform.This role involves working with various data storage options offered by Microsoft Azure, developing, and implementing data integration processes, and using big data technologies to handle and analyze large volumes of data for multiple purposes. In addition, the role requires supporting AI implementations and Power BI reporting.</p>
<ul><li>Ensure that Health and Safety is the number one goal by following policies, processes, and always acting in a safe manner.</li></ul>
<ul><li>Design data storage systems that scale, perform, and are economical enough to satisfy the organization&rsquo;s requirements.</li></ul>
<ul><li>Develop and implement data integration processes, frequently using Azure Data Factory, to extract, transform, and load (ETL) data from various sources into Azure data warehouses or data lakes.</li></ul>
<ul><li>Use big data technologies like Apache Spark to handle and analyze enormous volumes of data.</li></ul>
<ul><li>Collaborate with data scientists to create data sets and engineer features for AI Initiatives</li></ul>
<ul><li>Implement and optimize data retrieval for Power BI solutions.</li></ul><p><b>
QUALIFICATIONS</b></p><ul><li>A master&rsquo;s degree in computer science, Statistics, Mathematics, or a related field is required. A bachelor&rsquo;s degree with significant relevant experience would suffice.</li></ul>
<ul><li>5+ years of data engineering experience leveraging technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks</li></ul>
<ul><li>Experience with data pipelines and engineering infrastructure: You should have experience designing and implementing data pipelines and engineering infrastructure for machine learning systems.</li></ul>
<ul><li>Solid knowledge of data processing languages, including SQL, Python, Scala.</li></ul>
<ul><li>Experience with AI implementations and Power BI.</li></ul>
<ul><li>Experience with Microsoft Azure&rsquo;s data services: You should have hands-on experience with various data services offered by Microsoft Azure, such as Azure Machine Learning, Azure Databricks, and Azure Data Factory. Familiarity with Azure Cognitive Services for integrating AI capabilities (like vision, language, and decision functionalities) directly into applications.</li></ul>
<ul><li>Ability to work with large datasets and experience with data processing tools like SQL, Pandas, and big data technologies such as Apache Spark.</li></ul>
<ul><li>Proficiency in Python, .NET C#, API development</li></ul>
<ul><li>Experience with SQL, NoSQL databases and Data Fabric architectures.</li></ul>
<ul><li>Strong communication skills to effectively collaborate with team members and stakeholders.</li></ul>
<ul><li>Strong problem-solving skills and ability to think algorithmically.</li></ul>
<ul><li>Ability to translate complex findings into a compelling narrative for non-technical stakeholders.</li></ul>
<ul><li>Certifications like Microsoft Certified: Azure Data Engineer Associate will be preferred</li></ul></div>

Bridgenext

<div><h2 class="jobSectionHeader"><b>Azure Data Engineer</b></h2>
<div><b>Job ID:</b> Clo-ETP-Ind-1099</div>
<p><b>Location:</b> India,Pune</p>
<div><p><b>Job Summary: </b>We are seeking a skilled and experienced Cloud Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure/AWS cloud platforms. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Databricks other relevant technologies. The 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 3-5 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 cloud platforms.</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 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 Relational Databases, Snowflake and other data sources.</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 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></ul><p><br>
</p><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 Azure/AWS cloud technologies.</li><li>
In-depth knowledge of 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></ul><p></p><p><br>
If you meet these qualifications and are excited about the opportunity to work with cutting-edge cloud 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>

Infogain

<p></p><div><p>ROLES &amp; RESPONSIBILITIES</p>
<div><p><b>Core Skills</b></p><p>
5 to 9 years&rsquo; experience<br>
Nice to have -&gt;; Worked in hp eco system (FDL architecture)<br>
Databricks + SQL combination is must</p></div>
<p>EXPERIENCE</p>
<ul><div>6-8 Years</div>
</ul><p>SKILLS</p>
<ul><div>Primary Skill: Data Engineering</div>
<div>Sub Skill(s): Data Engineering
</div><div>Additional Skill(s): databricks, SQL, Azure Data Factory</div>
</ul><p>ABOUT THE COMPANY</p>
<p>Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail &amp; CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).</p>
<p>
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak&oacute;w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.</p></div>

Azure Data Engineer (Senior)

Eurofins GSC IT DC

<div><b>Company Description</b><p><br>
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and the environment safer, healthier and more sustainable. From the food you eat to the medicines you rely on, Eurofins works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. Eurofins is a global leader in food, environmental, pharmaceutical and cosmetic product testing and in agroscience CRO services. It is also one of the global independent market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, CDMO, advanced material sciences and in the support of clinical studies.</p><p>
In over just 35 years, Eurofins has grown from one laboratory in Nantes, France to 62,000 staff across a network of over 1,000 independent companies in 61 countries, operating 900 laboratories. Performing over 450 million tests every year, Eurofins offers a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products, as well as providing innovative clinical diagnostic testing services, as one of the leading global emerging players in specialised clinical diagnostics testing.</p><p>
Eurofins is one of the fastest growing listed European companies with a listing on the French stock exchange since 1997.</p><p>
Eurofins IT Solutions India Pvt Ltd (EITSI) is a fully owned subsidiary of Eurofins and functions as a Global Software Delivery Center exclusively catering to Eurofins Global IT business needs. The code shipped out of EITSI impacts the global network of Eurofins labs and services.</p><p>
The primary focus at EITSI is to develop the next generation LIMS (Lab Information Management system), Customer portals, e-commerce solutions, ERP/CRM system, Mobile Apps &amp; other B2B platforms for various Eurofins Laboratories and businesses. Young and dynamic, we have a rich culture and we offer fulfilling careers.</p><p></p><b><br>
Job Description</b><p><b><br>
Senior Software Engineer</b></p><p>
Eurofins IT Solutions, Bengaluru, Karnataka, India</p><p>
With 36 facilities worldwide, Eurofins BioPharma Product Testing (BPT) is the largest network of bio/pharmaceutical GMP product testing laboratories providing comprehensive laboratory services for the world's largest pharmaceutical, biopharmaceutical, and medical device companies.</p><p>
BPT is enabled by global engineering teams working on next-generation applications and Laboratory Information Management Systems (LIMS). As a Senior Software Engineer with specialized knowledge in Azure Cosmos DB and MongoDB, you will be a crucial part of our delivery team, ensuring the product features are completely automated and reducing the idea to live time to Business. This is a database-focused engineering role, ideal for someone who excels at designing, managing, and optimizing document-based, distributed databases in large-scale, cloud-native systems.As a technology leader, BPT wants to give you the opportunity not just to accept new challenges and opportunities but to impress with your ingenuity, focus, attention to detail and collaboration with a global team of professionals.</p><p>
This role reports to a Manager.</p><p><b>
Required Experience and Skills</b></p><p><b>
Experience:</b></p><p>
5 - 8 years of experience in database engineering, architecture, or backend data systems.<br>
Minimum 3 years of deep, hands-on experience with Azure Cosmos DB and MongoDB in production environments.<br>
Proven experience with NoSQL data modeling, scaling distributed databases, and partitioning strategies.<br>
</p><p><b>Specific skills required</b></p><p><b>
Document Databases:</b><br>
Azure Cosmos DB (Core SQL API or Mongo API):<br>
Strong understanding of partition key design, request units (RU/s), indexing, consistency models, TTL, and multi-region replication<br>
Experience with Change Feed, throughput provisioning, autoscale vs manual throughput<br>
MongoDB:<br>
Expertise in sharding, replica sets, indexing, schema optimization, and aggregation framework<br>
Familiarity with MongoDB Atlas and advanced configuration/tuning<br>
Performance &amp; Optimization:<br>
Ability to perform deep query analysis, index tuning, and performance diagnostics<br>
Experience designing for high-concurrency and low-latency requirements<br>
Monitoring, alerting, and performance dashboards using tools like Azure Monitor, MongoDB Ops Manager<br>
</p><p><b>Desirable Experience</b></p><p>
Experience with data migration, backup/restore strategies, and disaster recovery planning<br>
Exposure to multi-region, globally distributed data architectures<br>
Familiarity with event-driven and microservices environments<br>
Designing data access layers for multi-tenant SaaS applications<br>
Understanding of security, encryption, and compliance requirements (e.g., GDPR, HIPAA) in data management</p><p><b>
Additional Skills (Preferred)</b><br>
SQL knowledge ability to work with traditional RDBMS (SQL Server, PostgreSQL, MySQL) and understand relational vs document modeling trade-offs<br>
Familiarity with backend application stacks (e.g., .NET, Java, Node.js) for integration purposes<br>
Infrastructure as Code (IaC) experience with Terraform, Bicep, or ARM templates<br>
Scripting experience in Python, PowerShell, or Bash for automation<br>
Certifications:<br>
Microsoft Certified: Azure Cosmos DB Developer Associate<br>
MongoDB Certified DBA or Developer<br>
Experience with data lakes, analytical processing, or data warehousing is a plus</p><p></p><b><br>
Additional Information</b><p><b><br>
Personal Skills:
</b></p><ul><li>Excellent analytical and problem solving skills</li><li>
Excellent verbal and written communication skills</li><li>
Ability to articulate and present different points-of-views on various topics related to project and otherwise.</li><li>
Eager to learn and continuously develop personal and technical capabilities.</li></ul><p><b>
Required Qualifications:</b></p><ul><li>
MCA or Bachelors in Engineering, Computer Science or equivalent.</li></ul><p><b>
PERFORMANCE APPRAISAL CRITERIA</b>: Eurofins has a strong focus on Performance Management system. This includes quarterly calibrations, half-yearly reviews and annual reviews. The KPIs shall be set and may vary slightly between projects. These will be clearly communicated, documented during the first 30 days of your joining.</p></div>

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6784 azure data engineer jobs IN Marketplace Finance Jobs In India

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