4854 Azure Databricks Jobs - Page 39

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using Azure Data Factory (ADF) to extract, transform, and load data from various sources into Azure Storage solutions. Collaborate with cross-functional teams to understand business requirements and design scalable data models that meet those needs. Develop complex SQL queries to optimize database performance and troubleshoot issues in Microsoft SQL Server databases. Implement machine learning algorithms on top of big data platforms like Azure Databricks to drive business insights. Location - Noida, Bangalore, Mumbai, Pune, Kolkata, Hyderabad

Job Overview: We are seeking an experienced Senior Developer with strong expertise in Python, Node.js, Azure, and a proven track record of migrating cloud applications from AWS to Azure. This role requires hands-on experience in PySpark, Databricks, and Azure data services such as ADF and Synapse Spark. The ideal candidate will lead end-to-end modernization and migration initiatives, code remediation, and deployment of serverless and microservices-based applications in Azure. Key Responsibilities: Lead the migration of Python and Node.js applications from AWS to Azure. Analyze legacy AWS architecture, source code, and cloud service dependencies to identify and implement code refactoring and ...

We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment. Key Responsibilities : - Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services. - Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP). - Build and manage data warehouse solutions, schema evolution, and data versioning. - Implement and manage workflow orchestration u...

We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment. Key Responsibilities : - Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services. - Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP). - Build and manage data warehouse solutions, schema evolution, and data versioning. - Implement and manage workflow orchestration u...

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment. Key Responsibilities : - Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift. - Work in multi-cloud environments including AWS, Azure, and GCP. - Implement workflow orchestration using Airflow or similar frameworks. - Design, implement, and manage data warehouse solutions, schema evolution, and data versioning. - Collaborate with cross-functional teams to deliver high-quality data solutions. Req...

We are looking for an experienced Databricks Tech Lead to join our team on a 4-month extendable contract. The ideal candidate will bring deep expertise in data engineering, big data platforms, and cloud-based data warehouse solutions, with the ability to work in a fast-paced remote environment. Key Responsibilities : - Lead the design, optimization, and management of large-scale data pipelines using Databricks, Spark (PySpark), and AWS data services. - Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP). - Build and manage data warehouse solutions, schema evolution, and data versioning. - Implement and manage workflow orchestration u...

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment. Key Responsibilities : - Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift. - Work in multi-cloud environments including AWS, Azure, and GCP. - Implement workflow orchestration using Airflow or similar frameworks. - Design, implement, and manage data warehouse solutions, schema evolution, and data versioning. - Collaborate with cross-functional teams to deliver high-quality data solutions. Req...

We are seeking a skilled Databricks Developer to join our team on a 4-month contract basis. The ideal candidate will have strong expertise in modern data engineering technologies and the ability to work in a fast-paced, remote environment. Key Responsibilities : - Develop, optimize, and manage large-scale data pipelines using Databricks, PySpark, DBT, and AWS S3/Glue/Redshift. - Work in multi-cloud environments including AWS, Azure, and GCP. - Implement workflow orchestration using Airflow or similar frameworks. - Design, implement, and manage data warehouse solutions, schema evolution, and data versioning. - Collaborate with cross-functional teams to deliver high-quality data solutions. Req...

Role Overview We are looking for a highly skilled Data Engineer to join our data engineering team. The ideal candidate will have hands-on experience in building and maintaining data pipelines using Azure Databricks , Azure Data Factory , PySpark , and Microsoft Fabric (OneLake, Lakehouse, Dataflows, etc.). You will be responsible for designing robust data architectures, optimizing data workflows, and ensuring data quality and governance. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory (ADF) and Microsoft Fabric Pipelines / Dataflows . Develop data transformations using PySpark / Spark SQL in Azure Databricks or Microsoft Fabric Notebooks. Bui...

About Position: As a Data Engineer, you will design and manage robust data pipelines using Azure Databricks, Spark, and Kafka. You'll process large-scale datasets and implement CDC pipelines to power analytics platforms. Your role includes modeling data using the Medallion Architecture and ensuring data quality and governance. Collaboration with analytics teams for visualization and insights is key to success. Role: Data Engineer Location: Mumbai Experience: 5 to 11 Years Job Type: Full Time Employment What You'll Do: Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory and Azure Databricks. Implement Change Data Capture (CDC) pipelines to ingest data fr...

Data Engineering Lead- Azure (Data Brick) Company Name: Blackstraw.ai Job Type: Full-time Experience: 10 - 15 Years Candidates who can join immediately will be preferred. Job Description: As a lead data engineer you will oversee data architecture, ETL processes, and analytics pipelines, ensuring efficiency, scalability, and quality. Key Responsibilities: Job Requirements: Participate in the customers system design meetings and collect the functional/technical requirements. Build up data pipelines for consumption by the data science team. Skillful in ETL process and tools. Clear understanding and experience with Azure Data Factory, Python and PySpark or Spark, with HIVE, Airflow, Impala, and ...

Job Title: Data Engineer Work Location: - BANGALORE Duration of Assignment: 18+ Months ( Contract to Hire) Work mode: Onsite, 5days working from Client Location Experience- 7 to 10years Immediate Joiners or serving Notice Period till November PF is mandatory Skill Required : Digital: Microsoft Azure, Digital: DevOps, Azure Data Factory Role Description - Azure devops Engineer, Azure data Engineer -Azure devops Engineer, Azure data Engineer agile way of working -Agile way of working

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommen...

Description : We are a technology consulting firm operating in Cloud Data Engineering and Analytics, helping enterprise customers build reliable, scalable data platforms and analytics products. Our teams deliver end-to-end data lakes, real-time streaming pipelines, and production-grade ML feature stores using Databricks and modern cloud data tooling. Role & Responsibilities : - Design, build, and maintain scalable batch and streaming ETL pipelines on Databricks using Delta Lake and Delta Live Tables (DLT). - Develop and optimize Spark/PySpark jobs for performance, cost-efficiency, and reliability; tune cluster sizing and autoscaling policies. - Implement data quality, observability, lineage ...

About The Role Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Microsoft Azure Analytics Services, Microsoft SQL Server, Microsoft Azure Databricks, PySpark, Azure Data Factory, Databricks REST API Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :About The Role :Azure Data Engineer – ADF, Databricks, ADLSRole OverviewWe are seeking a skilled ...

About The Role Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Microsoft Azure Databricks Good to have skills : Microsoft Azure DevOps Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate their migra...

Responsibilities: * Design, develop & maintain data pipelines using Azure Data Factory * Optimize performance through ETL process improvements * Collaborate with cross-functional teams on project delivery Health insurance Provident fund

What will your day look like - Leading a dynamic team to deliver high impact risk solutions across credit risk (underwriting, exposure controls and line management). - Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies - Manage challenging time constraints to ensure on-time delivery of projects. - Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation. - Analyze loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc. - Work closely with data science team and recommen...

We are a technology consulting firm operating in Cloud Data Engineering and Analytics, helping enterprise customers build reliable, scalable data platforms and analytics products. Our teams deliver end-to-end data lakes, real-time streaming pipelines, and production-grade ML feature stores using Databricks and modern cloud data tooling. Role & Responsibilities : - Design, build, and maintain scalable batch and streaming ETL pipelines on Databricks using Delta Lake and Delta Live Tables (DLT). - Develop and optimize Spark/PySpark jobs for performance, cost-efficiency, and reliability; tune cluster sizing and autoscaling policies. - Implement data quality, observability, lineage and monitoring...

Job description Hiring for Azure Databrick Engineer Mandatory Skills: Databrick, Data lake, Azure Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and d...

Responsibilities Design, develop, and deploy data processing solutions using Azure Databricks. Collaborate with data engineers, architects, and business analysts to gather and analyze requirements. Develop, optimize, and manage complex data pipelines and workflows. Ensure data quality, integrity, and security across various data sources. Troubleshoot and resolve performance issues related to Databricks solutions. Document technical specifications and maintain comprehensive project documentation. Provide technical guidance and mentorship to junior developers. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Minimum of 5 years of experience in dat...

About Position: Were looking for a Lead Technical Engineer who can bridge data engineering depth with FinOps insight. You’ll design and implement scalable data solutions across Databricks and Snowflake, drive performance optimization, and ensure that our cloud operations stay cost-efficient and well-governed. Role: Lead Data Engineer Location: All Persistent Locations Experience: 8+ Years Job Type: Full Time Employment What You'll Do: Lead end-to-end design and development of data pipelines using Databricks (Spark, Delta Lake) and Snowflake. Own technical architecture decisions for data ingestion, transformation, and storage. Implement and manage CI/CD pipelines for data workflows. Work clos...

We are seeking a highly skilled and experienced Senior Data Engineer (Azure+DBT) with strong expertise in Streaming Data and Big Data Technologies . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Strong expertise in: Azure Cloud Services o Databricks (including workflows and notebooks) PySpark and Python o SQL (complex queries, performance tuning) Azure Data Factory (ADF) DBT (Data Build Tool) o ServiceNow (incident and change management) Experience in reverse engineering and legacy system modernization is a plus. Excellent problem-solving and communication skills.

Role: Azure Data Engineer Experience Range: 7 to 10 yrs Location: Bangalore, Chennai, Hyderabad,Pune Date of Interview: 19th, 20th, 21st Nov, 2025 Mode of Interview : Virtual (Teams) Roles & Responsibilities: Overall 7+ Yrs of experience is mandatory in Azure. Developing, managing and optimizing robust and reliable data pipelines using azure native capabilities. Implement ADF workflows that perform data ingestion, data integration/ETL, statistical model executions etc. Creating architecture for data solutions with high performance characteristics Bringing data and analytics products to production Implement CI/CD pipelines for data solutions Build dashboards for data stewards and business rep...

Greetings from Tata Consultancy Services!!! TCS is conducting Weekday Virtual drive for the role of Azure Data Engineer Years of experience: 6 to 10 yrs Location: Hyderabad Notice Period: 0 to 60 days Date of Interview: 19,20,21st Nov 2025 Time of Interview: 10 AM to 2 PM Interview Mode: Virtual Job description: Relevant experience in Pyspark and Azure Databricks. Proficiency in integrating, transforming, and consolidating data from various structured and unstructured data sources. Good experience in SQL or native SQL query languages. Strong experience in implementing Databricks notebooks using Python. Good experience in Azure Data Factory, ADLS, Storage Services, Serverless architecture, Az...