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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.
 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.
 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.
 
Responsibilities: 
<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>
Requirements: 
<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

Bridgenext

<div><h2 class="jobSectionHeader">Azure Data Engineer</h2>
<div>Job ID: Azu-ETP-Pun-1226</div>
Location: Pune,Other
<div>Job Summary: 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. 
Minimum 3-6 Years of Experience in Data Integration platform on cloud (Azure preferred) 
Responsibilities:<ul><li>
Solution Design and Architecture:</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>
Data Ingestion and ETL:</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>
Data Storage and Management:</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>
Data Transformation and Processing:</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>
Monitoring and Optimization:</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>
Collaboration and Communication:</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>
Automation and Scripting:</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>
Qualifications:<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>
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.</div></div>

CAI (Computer Aid, Inc.)

Req number: R6811
 
Employment type: Full time
 
Worksite flexibility: Hybrid Who we are
 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.
 
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
 
Job Description
 We are looking for Data Engineer . This position will be full-time and Hybrid Bangalore.
 
What You’ll Do
 Design, build, and optimize data ingestion and ETL/ELT pipelines using Azure Databricks and Azure Data Factory.
 Work extensively with Delta Lake, Structured Streaming, and Lakehouse architecture.
 Develop scalable PySpark and Python transformation logic for batch and streaming workloads.
 Design and maintain data models (Dimensional, SCD Types 1 & 2, Lakehouse schemas).
 Manage data storage using Azure Data Lake Gen2, Delta tables, and Parquet formats.
 Integrate with REST/Graph/Custom APIs for data access and ingestion, including OAuth or managed authentication flows.
 Implement CI/CD pipelines for data solutions using Azure DevOps (Repos, Pipelines, Release automation).
 Implement strong security practices RBAC, Key Vault, managed identities, network security.
 Maintain documentation, knowledge sharing, and best practices across the team.
 Knowledge of CI/CD for Databricks using Databricks Asset Bundles / DABs.
 
What You'll Need
 
Required: 
7–8 years of total experience in Data Engineering.
 Azure Databricks (Jobs, Workflows, SQL Warehouses, Unity Catalog).
 Python / PySpark.
 Azure Data Factory & Azure Data Lake Storage.
 Azure DevOps (Git branching, CI/CD pipelines).
 API integration (REST, Graph API, token-based auth).
 Strong command of SQL performance tuning, CTEs, window functions.
 Knowledge of distributed systems, partitioning, and big data processing.
 Experience with Delta Lake principles (ACID, time travel, vacuum, Z-ordering).
 Understanding of Data Governance concepts.
 
Preferred Skills (Nice to Have): 
Experience with Event-driven architecture (Kafka/Event Hub).
 Knowledge of python backend.
 
Physical Demands
 Sedentary work that involves sitting or remaining stationery most of the time with occasional need to move around the office to attend meetings, etc.
 Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor.
 
Reasonable accommodation statement
 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.

Mobile Programming India Private Limited

Title: Data Engineer &ndash; ADF | PySpark | Databricks | Medallion Architecture Experience: 6+ yearsLocation: WFO &ndash; Hyderabad / Gurgaon (HYD / GGN) Type: Full-timeRole Overview We&rsquo;re looking for a hands-on Data Engineer with deep practical experience in Azure Data Factory (ADF), Databricks, and PySpark, with strong understanding of Medallion Data Architecture and data migration pipelines in production. The engineer should be comfortable owning complex ETL/ELT workflows end-to-end &mdash; from ingestion to gold-layer delivery &mdash; with minimal hand-holding, and able to operate in both individual contributor and collaborative team settings.Key Responsibilities Design, build, and maintain data pipelines using ADF, Databricks, and PySpark for large-scale structured and semi-structured datasets.Implement and optimize Medallion architecture (Bronze&ndash;Silver&ndash;Gold layers) in Delta Lake or Lakehouse environments.Develop and tune PySpark jobs for ingestion, transformation, aggregation, and cleansing at scale.Perform data migration and synchronization between heterogeneous sources (PostgreSQL, MS SQL Server, Cosmos DB, etc.) and cloud targets.Design ADF pipelines with parameterization, triggers, linked services, and data flow optimizations.Work closely with architects to ensure solutions follow data governance, lineage, and security best practices.Troubleshoot pipeline failures, cluster performance issues, and optimize data processing workloads.Contribute to code reviews, CI/CD automation, and documentation for production data workflows.Technical Skills Core Expertise Azure Data Factory (ADF): Data pipelines, triggers, parameterized datasets, data flow activities.Databricks: Cluster configuration, notebook orchestration, Delta tables, workspace management.PySpark: Transformation logic, distributed computing, performance tuning, UDFs, job parallelization.SQL: Advanced query writing, stored procedures, optimization (especially on PostgreSQL and MS SQL Server).Medallion Architecture: Design and implementation of bronze/silver/gold layer models.Data Migration: Working with production-scale datasets, incremental load, and data validation frameworks.Nice to Have Exposure to Azure Cosmos DB (SQL API or Mongo API).Knowledge of Azure Synapse Analytics, Delta Lake, or Unity Catalog.Familiarity with Git, CI/CD pipelines, and Infrastructure-as-Code (IaC) for data projects.Understanding of cloud cost optimization and cluster auto-scaling strategies.Soft Skills Strong analytical thinking and problem-solving attitude.Ability to work independently with minimal oversight.Clear and structured written and verbal communication for cross-team collaboration.Ownership mindset &mdash; able to drive deliverables from design to production release.Preferred Background Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related technical field.6+ years of hands-on experience building data pipelines in Azure Cloud.Prior experience in production-grade data migration or modern data platform implementations.Job Types: Full-time, PermanentPay: &#8377;512,624.20 - &#8377;1,874,688.01 per yearBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Provident Fund</li></ul>Work Location: In person

<div>Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. 
Job Title: Azure Data Engineer 
Position: SE/SSE 
Experience: 4- 7 Years 
Category: Software Development/ Engineering 
Shift: Timing/rotation etc. details 
Main location: India, Karnataka, Bangalore 
Position ID: J1125-0451 
Employment Type: Full Time 
Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. 
Position Description: We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate has strong experience with Azure data services, data warehousing, ETL/ELT development, and cloud data architecture. You will work closely with data analysts, data scientists, and business stakeholders to deliver secure, reliable, and high-quality data pipelines and platforms.
Your future duties and responsibilities
Design and implement storage solutions using Azure services such as Azure SQL and Azure Data Lake Storage. 
Design and implement ETL using ADF data pipelines to move and transform data from various sources into cloud-based data warehouses 
Implement business solution using Azure DataBricks. 
Align with DevOps strategy to promote the code to Production. 
Think out of the solution to create reusable Databricks components 
Should have working experience in migration and modernization projects 
Involve in due diligence phases to transform the requirements to implementation
Required qualifications to be successful in this role
Strong experience in Azure Functions, Azure Data Factory, Azure Sql, Azure Key Vault 
Strong Experience in Azure Data Bricks, Notebooks, ADLS, Delta Lake 
Experience in building data pipelines and analysis tools using Python, PySpark, Scala, SQL 
Proficient in integrating, transforming, and consolidating data from various structured and unstructured data. 
Knowledge on Autosys jobs, Batch scripts 
Hands on experience in using Agile methodology, Azure DevOps(CI/CD Pipeline)
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

<div>Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. 
Job Title: Azure Data Engineer 
Position: SE/SSE 
Experience: 4- 7 Years 
Category: Software Development/ Engineering 
Shift: Timing/rotation etc. details 
Main location: India, Karnataka, Bangalore 
Position ID: J1125-0449 
Employment Type: Full Time 
Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. 
Position Description: We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate has strong experience with Azure data services, data warehousing, ETL/ELT development, and cloud data architecture. You will work closely with data analysts, data scientists, and business stakeholders to deliver secure, reliable, and high-quality data pipelines and platforms.
Your future duties and responsibilities
Design and implement storage solutions using Azure services such as Azure SQL and Azure Data Lake Storage. 
Design and implement ETL using ADF data pipelines to move and transform data from various sources into cloud-based data warehouses 
Implement business solution using Azure DataBricks. 
Align with DevOps strategy to promote the code to Production. 
Think out of the solution to create reusable Databricks components 
Should have working experience in migration and modernization projects 
Involve in due diligence phases to transform the requirements to implementation
Required qualifications to be successful in this role
Strong experience in Azure Functions, Azure Data Factory, Azure Sql, Azure Key Vault 
Strong Experience in Azure Data Bricks, Notebooks, ADLS, Delta Lake 
Experience in building data pipelines and analysis tools using Python, PySpark, Scala, SQL 
Proficient in integrating, transforming, and consolidating data from various structured and unstructured data. 
Knowledge on Autosys jobs, Batch scripts 
Hands on experience in using Agile methodology, Azure DevOps(CI/CD Pipeline) 
Knowledge on Streaming platforms (Kafka, Solace queue), Azure App Services, Azure Stream Analytics, Power BI 
Knowledge on Ability to work independently as well as in a team
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

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10000 azure data engineer jobs IN Noida Faridabad Delhi Ghaziabad Greater Noida Jobs In Delhi

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer