azure data engineer

Tech Pinacle Innovation Pvt Ltd

Job Title: Azure Data EngineerRole SummaryWe are seeking a highly skilled Azure Data Engineer with strong expertise in Azure Data Factory (ADF), Azure Databricks, and advanced SQL. The ideal candidate will design, develop, and maintain enterprise-grade data pipelines and data warehouse solutions in Azure cloud environments. This role requires hands-on experience in ETL development, data modeling, performance optimization, and version-controlled data engineering practices.Key ResponsibilitiesData Engineering &amp; Pipeline Development<ul><li>Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).</li><li>Develop and optimize data transformation workflows in Azure Databricks.</li><li>Integrate data from multiple structured and unstructured sources.</li><li>Ensure reliable data ingestion, transformation, and loading processes.</li></ul>Data Warehouse &amp; Architecture<ul><li>Build enterprise-level data warehouse solutions using Azure SQL and Databricks.</li><li>Design dimensional models, star/snowflake schemas, and data marts.</li><li>Implement data governance, quality checks, and validation rules.</li><li>Optimize query performance and storage strategies.</li></ul>SQL &amp; Data Optimization<ul><li>Write advanced SQL queries for data extraction, transformation, and analysis.</li><li>Perform performance tuning and query optimization.</li><li>Manage indexing strategies and data partitioning techniques.</li><li>Support complex joins, aggregations, stored procedures, and views.</li></ul>Cloud &amp; DevOps Practices<ul><li>Use GitHub for version control and code management.</li><li>Implement CI/CD processes for data pipelines.</li><li>Collaborate with DevOps teams for automated deployment and monitoring.</li><li>Follow best practices in code reviews and documentation.</li></ul>Visualization &amp; Reporting Support<ul><li>Support integration with visualization tools (Power BI or similar).</li><li>Prepare curated datasets for reporting and analytics.</li><li>Ensure data consistency across BI dashboards and reports.</li></ul>Required Qualifications<ul><li>4+ years of experience working with Azure Data Factory (ADF).</li><li>3+ years of advanced SQL development experience.</li><li>3+ years of hands-on experience with Azure Databricks and Azure SQL.</li><li>Strong experience building enterprise-level data warehouse projects.</li><li>Proficiency with GitHub for version control.</li><li>Solid understanding of ETL processes and data warehouse concepts.</li></ul>Preferred Qualifications<ul><li>Experience with visualization tools such as Power BI.</li><li>Knowledge of performance tuning in large-scale data environments.</li><li>Experience with Delta Lake architecture.</li><li>Exposure to data governance and security best practices.</li></ul>Key Competencies<ul><li>Azure Data Factory (ADF)</li><li>Azure Databricks</li><li>Azure SQL</li><li>Advanced SQL development</li><li>Data warehouse architecture</li><li>ETL/ELT development</li><li>Git-based version control</li><li>Performance optimization</li></ul>Job Types: Full-time, PermanentPay: ₹492,829.33 - ₹1,770,745.20 per yearWork Location: Hybrid remote in Noida

Azure Data Engineer

Realign

<div>Bellevue, Washington 98004 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
<div>Role : Azure Data Engineer 
Location : Bellevue, WA 
Contract</div><div> 
Mandatory Skill Sets:</div><ul><li> Strong experience in Data Engineering , Python, Snowflake, SQL, Azure</li><li> Hands-on expertise with ETL/data pipelines</li><li> Experience with large-scale data processing frameworks</li><li> Strong SQL and data modelling knowledge</li><li> Experience working in Agile/Scrum delivery models</li><li> Ability to work onsite and collaborate with cross-functional teams</li><li> Cloud data platforms (AWS/Azure/GCP)</li><li> Performance optimization and data quality management</li><li> Production support and troubleshooting experience</li></ul>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Azure Data Engineer-1

Binary Brix 

Job Title: Azure Data Engineer Company: Symufolk Location: Onsite &ndash; Lahore Experience: 3&ndash;5 Years Job Type: Full-TimeJob OverviewSymufolk is looking for an experienced Azure Data Engineer to join our Data &amp; Analytics team. The ideal candidate will design and build scalable data pipelines, work with modern cloud technologies, and support enterprise-level data governance in an Agile environment.Key Responsibilities<ul><li>Design and develop end-to-end data pipelines and API integrations</li><li>Analyse data sources and translate business requirements into technical solutions</li><li>Design, review, and maintain data models and standards</li><li>Support Data Governance (Data Catalog, Business Glossary, Data Dictionary)</li><li>Collaborate with Platform Architects and cross-functional teams</li><li>Ensure data quality, performance, and security</li></ul>Must-Have Qualifications<ul><li>3&ndash;5 years of experience in Azure data platforms</li><li>Strong hands-on with ADF / Synapse, Azure SQL, Spark, and Delta tables</li><li>Experience with REST APIs and databases (Cosmos DB is a plus)</li><li>Solid understanding of DML and CI/CD pipelines</li><li>Excellent English communication and problem-solving skills</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Betsol

<div><div><div><h2 class="jobSectionHeader">Company Description</h2></div><div>
BETSOL is a cloud-first digital transformation and data management company offering products and IT services to enterprises in over 40 countries. BETSOL team holds several engineering patents, is recognized with industry awards, and BETSOL maintains a net promoter score that is 2x the industry average.
BETSOL&rsquo;s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and best-in-class performance.
BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for its customers.
BETSOL offices are set against the vibrant backdrops of Broomfield, Colorado and Bangalore, India.
We take pride in being an employee-centric organization, offering comprehensive health insurance, competitive salaries, 401K, volunteer programs, and scholarship opportunities. Office amenities include a fitness center, cafe, and recreational facilities.
Learn more at betsol.com</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
We are seeking an experienced Azure Data Engineer to join our enterprise data engineering team. This role is focused on building and maintaining modern, scalable data pipelines across our data ecosystem &mdash; including lakehouses, data warehouses, data marts, and operational data stores &mdash; while supporting the migration of legacy ETL solutions to Microsoft Fabric and Azure.
Key Responsibilities:
Data Pipeline Development<ul><li>
Design and build ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric Data Pipelines, Databricks, and Fabric Notebooks</li><li>
Implement medallion architecture (Bronze/Silver/Gold) in Fabric Lakehouse environments</li><li>
Develop transformation logic using T-SQL, Spark SQL, PySpark, and Dataflows Gen2</li><li>
Build and maintain dimensional models (star/snowflake schema) and Data Vault models</li><li>
Implement incremental loading patterns using CDC, watermarking, and delta detection</li><li>
Create reusable pipeline components, templates, and parameterized frameworks</li><li>
Optimize pipeline performance through partitioning, parallelization, and query tuning</li></ul>
Legacy-to-Fabric Migration<ul><li>
Convert legacy ETL mappings, workflows, and scheduling logic to Microsoft Fabric/ADF equivalents</li><li>
Recreate parameter files, session configurations, and orchestration patterns in Fabric</li><li>
Execute unit testing and data reconciliation to validate migrated pipelines produce identical results</li><li>
Document conversion patterns, technical decisions, and issue resolutions</li><li>
Support parallel runs and cutover validation</li></ul>
Data Quality &amp; Testing<ul><li>
Build data quality checks and validation frameworks embedded within pipelines</li><li>
Develop automated testing strategies (unit, integration, regression) for data pipelines</li><li>
Create monitoring dashboards and alerting for pipeline failures and data anomalies</li><li>
Perform source-to-target reconciliation for both BAU and migration workloads</li></ul>
Platform Operations &amp; Collaboration<ul><li>
Monitor, troubleshoot, and optimize production pipelines</li><li>
Implement logging, error handling, and retry mechanisms</li><li>
Support CI/CD pipelines for data solutions using Azure DevOps and Git</li>
Manage environment promotions (DEV QA<li> PROD) and participate in on-call rotation</li><li>
Implement security best practices: RBAC, encryption, data masking, workspace security</li><li>
Collaborate with Data Architects, Business Analysts, DevOps, and BI teams</li><li>
Maintain technical documentation: pipeline specs, data dictionaries, and runbooks</li></ul>
Technical Skills:
Microsoft Fabric &amp; Azure<ul><li>
Microsoft Fabric &mdash; Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks</li><li>
Azure Data Factory v2 &mdash; pipelines, linked services, integration runtimes, triggers</li><li>
Azure Synapse Analytics &mdash; Dedicated SQL Pools, Serverless SQL, Spark Pools</li><li>
Azure Data Lake Storage Gen2, OneLake, Shortcuts, and Direct Lake mode</li></ul>
SQL &amp; Programming<ul><li>
Expert-level T-SQL &mdash; stored procedures, complex queries, performance tuning</li><li>
Python for data processing and automation</li><li>
PySpark for large-scale data transformations</li><li>
Familiarity with JSON, XML, and REST APIs</li></ul>
Informatica Platform<ul><li>
Development experience with Informatica PowerCenter (Designer, Workflow Manager, Workflow Monitor)</li></ul>
Data Platforms &amp; Formats<ul><li>
Delta Lake format and Delta table operations</li><li>
Apache Spark architecture and optimization</li><li>
Data partitioning strategies and performance tuning</li><li>
Parquet and Avro file formats</li><li>
Dimensional modeling and Data Vault concepts</li></ul>
DevOps &amp; Governance<ul><li>
Git version control and Azure DevOps (Repos, Pipelines)</li><li>
CI/CD implementation for data solutions</li><li>
Fabric workspace deployment pipelines</li><li>
Data lineage, metadata management, and data cataloging</li><li>
Security best practices &mdash; RBAC, encryption, masking</li><li>
Awareness of compliance standards (GDPR, HIPAA, SOC2)</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2></div><div>
Education &amp; Experience<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field</li><li>
6-8 years of hands-on experience in data engineering, ETL development, and data warehousing</li><li>
Minimum 6 months of hands-on experience working with Microsoft Fabric in a live/production environment (1 year+ preferred) - this includes practical delivery experience across Dataflow Gen2, PySpark Notebooks orchestrated by Fabric Pipelines, Fabric Data Pipelines (ADF-based), Delta table joins in Notebooks, PySpark aggregations, Notebook-based DQ with logging to Bronze</li><li>
1+ years of experience developing solutions on Microsoft Azure data platform</li><li>
1+ years of hands-on experience with Informatica PowerCenter and/or IICS development</li><li>
Experience participating in or leading ETL migration projects</li><li>
Strong understanding of data warehouse concepts, dimensional modeling, and data integration patterns</li><li>
Microsoft Certified: Azure Data Engineer Associate (DP-203)</li><li>
Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)</li></ul></div></div></div>

Brillio LLC

<div><h1 class="jobSectionHeader">Azure Data Engineer - R01561334</h1>
<div>Lead Data Engineer</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions
</li></ul><h6 class="jobSectionHeader">Specialization</h6><ul><li>
Azure Data Engineering Advanced: Senior Data Engineer
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
Azure Data Engineer:- 1. At least 4 to 6 years of relevant experience in data engineering team with 2-3 years hands-on experience in supporting Azure cloud technologies 2. Hands-on Expertise in Azure Data Engineering tool stack primarily Azure Data Factory, Azure Data Lake, logic Apps and Azure SQL,MPP (Azure Synapse) 3. Deep knowledge and hands-on on creating Azure Databricks notebooks (Good knowledge on PySpark, Databricks SQL, Delta Lake concepts) or Synapse Spark 4.Good understanding and exposure to Production Support of data integration and ETL systems with an understanding of SLAs, cross team collaboration and expectation setting. 5.Good understanding and experience around Data Warehousing, ETL/ELT process, Relational Databases, Slowly changing dimension considerations etc. 6.Should be familiar with Azure Synapse Workspace and good understanding of the Best practices for Data Loading to various target systems like Azure Synapse, data lake etc from various source systems 7.Understanding and able to build complex data transformation logic using Azure Databricks Pyspark for structured, semistructured data with different formats 8.Good understanding of No-SQL databases and experience with the same 9.Good understanding of SQL, Can write stored procedures, CTE queries, functions, understanding of normalization 10.Understanding of data loading from different source file formats (parquet, xml, json, csv etc), Experience with data Extraction from different data sources (Relational, FTP, SAP etc) 11.Good understanding of security requirements of different Azure components 12.Experience in best practices to resolve issues due to ingestion of varied data volumes by code related changes, optimal usage of clusters, partitioning and other methods 13.Worked on 1-2 projects involving migration of large scale projects from On-Prem to cloud and also having a decent understanding of remediation of performance issues 14.Understanding of Devops (CICD processes for automated deployments) and as applicable for data engineering (ADF, ADB, SQL deployments) 15.Very good understanding of Agile to deliver consistent project outcome 16.Very high data affinity and strong analytical skills 17.Good understanding of data modelling concepts 18.Analyzing and translating business needs into long-term solution data models 19.Evaluating and analysis (reverse engineering) of existing data systems. 20.Creation of Conceptual data models and data flows, Physical data models and data strategies 20.Nice to have:- Certification in DP-203 (Microsoft Certified: Azure Data Engineer Associate), Databricks Data Engineering Certification</li></ul></div>

Azure Data Engineer – R01561334

Fusemachines

<div>About Fusemachines
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Remote, Full-time 
Job Description:
This is a role responsible for designing, building, and maintaining the automated testing frameworks and Python SDKs required for data integration, parity verification, and user accessibility in the Industrial IoT / Smart Buildings domain.
We are seeking a Senior Data Engineer with strong Python and PySpark skills, and proven implementation of automated Data Quality frameworks and CI/CD pipelines, delivering Data and Analytics products using Agile methodology. The ideal candidate will possess strong technical, analytical, and interpersonal skills.
Qualification / Skill Set Requirement:<ul><li>
5+ years of hands-on data engineering experience with deep expertise in the Azure ecosystem.</li><li>
Expert Python skills (building Libraries/SDKs, Py4J).</li><li>
Strong experience with PySpark and DataFrames.</li><li>
Experience with Automated Testing frameworks (PyTest, JUnit) for data pipelines.</li><li>
Experience with Data Quality tools (Great Expectations, Deequ).</li><li>
Deep understanding of Apache Spark Internals (Catalyst Optimizer, Logical Plans).</li><li>
Experience with Databricks and Delta Lake optimization.</li><li>
Solid understanding of SDLC and Agile methodologies with hands-on experience in Azure DevOps, GitHub, CI/CD, and artifact management.</li><li>
Skilled in data modeling, data design, and data warehousing solutions on Azure Databricks.</li><li>
Knowledge of data governance, and security best practices within Azure (AD, NSG, encryption, compliance).</li><li>
Certifications preferred: Azure Fundamentals, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional and Azure Solutions Architect Expert (nice to have).</li></ul>
Responsibilities<ul><li>
Implement scalable and efficient data solutions on Spark and Flink.</li><li>
Develop a Python SDK that wraps core libraries for use in Jupyter Notebooks by data scientist and analyst..</li><li>
Build automated Parity Test Suite: CI/CD pipeline that runs queries against &quot;Golden Datasets&quot; in both Spark and Flink and asserts equality.</li><li>
Implement Data Quality (DQ) Rules configuration: Defining thresholds for &quot;Completeness&quot; and &quot;Validity&quot; that can be enforced.</li><li>
Manage and optimize Azure and Databricks resources, for performance, reliability, and cost-efficiency.</li><li>
Transform, clean, and prepare data using SQL, Python and Java.</li><li>
Monitor and fine-tune workloads and pipelines for optimal performance and reliability.</li><li>
Maintain CI/CD pipelines.</li><li>
Maintain clear documentation of solutions, configurations, and workflows.</li><li>
Actively participate in Agile team activities and continuous improvement initiatives.</li><li>
Promote and enforce data engineering best practices, including data governance, security, and data quality.</li></ul>
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
7JbVFNrvHJ</div>

Sr. Databricks Azure Data Engineer

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 Type: Remote, Full-time
 
 
 Job Description:
 
 
 This is a role responsible for designing, building, and maintaining the automated testing frameworks and Python SDKs required for data integration, parity verification, and user accessibility in the Industrial IoT / Smart Buildings domain.
 
 
 We are seeking a Senior Data Engineer with strong Python and PySpark skills, and proven implementation of automated Data Quality frameworks and CI/CD pipelines, delivering Data and Analytics products using Agile methodology. The ideal candidate will possess strong technical, analytical, and interpersonal skills.
 
 
 Qualification / Skill Set Requirement:
 
 
 <ul>
 <li>
 5+ years of hands-on data engineering experience with deep expertise in the Azure ecosystem
 </li>
 <li>
 Expert Python skills (building Libraries/SDKs, Py4J)
 </li>
 <li>
 Strong experience with PySpark and DataFrames
 </li>
 <li>
 Experience with Automated Testing frameworks (PyTest, JUnit) for data pipelines
 </li>
 <li>
 Experience with Data Quality tools (Great Expectations, Deequ)
 </li>
 <li>
 Deep understanding of Apache Spark Internals (Catalyst Optimizer, Logical Plans)
 </li>
 <li>
 Experience with Databricks and Delta Lake optimization
 </li>
 <li>
 Solid understanding of SDLC and Agile methodologies with hands-on experience in Azure DevOps, GitHub, CI/CD, and artifact management
 </li>
 <li>
 Skilled in data modeling, data design, and data warehousing solutions on Azure Databricks
 </li>
 <li>
 Knowledge of data governance, and security best practices within Azure (AD, NSG, encryption, compliance)
 </li>
 <li>
 Certifications preferred: Azure Fundamentals, Azure Data Engineer Associate, Databricks Certified Data Engineer Professional and Azure Solutions Architect Expert (nice to have)
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Implement scalable and efficient data solutions on Spark and Flink
 </li>
 <li>
 Develop a Python SDK that wraps core libraries for use in Jupyter Notebooks by data scientist and analyst.
 </li>
 <li>
 Build automated Parity Test Suite: CI/CD pipeline that runs queries against "Golden Datasets" in both Spark and Flink and asserts equality
 </li>
 <li>
 Implement Data Quality (DQ) Rules configuration: Defining thresholds for "Completeness" and "Validity" that can be enforced
 </li>
 <li>
 Manage and optimize Azure and Databricks resources, for performance, reliability, and cost-efficiency
 </li>
 <li>
 Transform, clean, and prepare data using SQL, Python and Java
 </li>
 <li>
 Monitor and fine-tune workloads and pipelines for optimal performance and reliability
 </li>
 <li>
 Maintain CI/CD pipelines
 </li>
 <li>
 Maintain clear documentation of solutions, configurations, and workflows
 </li>
 <li>
 Actively participate in Agile team activities and continuous improvement initiatives
 </li>
 <li>
 Promote and enforce data engineering best practices, including data governance, security, and data quality
 
 
 </li>
 </ul>
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 Powered by JazzHR
 
 
 RXObX8Jt99
</div>

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Azure Data Engineer – R01561334

Sr. Databricks Azure Data Engineer

Sr. Databricks Azure Data Engineer