3649 Azure Databricks Jobs - Page 17

Role Summary: A Python + Azure Executive role typically encompasses a leadership position focused on leveraging Python programming within the Microsoft Azure cloud platform. Key Responsibilities: Strategic Planning & Vision: Defining and executing the technical strategy for Python-based solutions on Azure, aligning with overall business objectives. Team Leadership & Mentorship: Leading, mentoring, and developing a team of engineers or data scientists, fostering a culture of innovation and continuous improvement. Solution Architecture & Design: Architecting and overseeing the design and implementation of scalable, robust, and cost-effective solutions using Python and various Azure services. T...

Role Summary: A Python + Azure Executive role typically encompasses a leadership position focused on leveraging Python programming within the Microsoft Azure cloud platform. Key Responsibilities: Strategic Planning & Vision: Defining and executing the technical strategy for Python-based solutions on Azure, aligning with overall business objectives. Team Leadership & Mentorship: Leading, mentoring, and developing a team of engineers or data scientists, fostering a culture of innovation and continuous improvement. Solution Architecture & Design: Architecting and overseeing the design and implementation of scalable, robust, and cost-effective solutions using Python and various Azure services. T...

Role Summary: A Python + Azure Executive role typically encompasses a leadership position focused on leveraging Python programming within the Microsoft Azure cloud platform. Key Responsibilities: Strategic Planning & Vision: Defining and executing the technical strategy for Python-based solutions on Azure, aligning with overall business objectives. Team Leadership & Mentorship: Leading, mentoring, and developing a team of engineers or data scientists, fostering a culture of innovation and continuous improvement. Solution Architecture & Design: Architecting and overseeing the design and implementation of scalable, robust, and cost-effective solutions using Python and various Azure services. T...

Role Summary: A Python + Azure Executive role typically encompasses a leadership position focused on leveraging Python programming within the Microsoft Azure cloud platform. Key Responsibilities: Strategic Planning & Vision: Defining and executing the technical strategy for Python-based solutions on Azure, aligning with overall business objectives. Team Leadership & Mentorship: Leading, mentoring, and developing a team of engineers or data scientists, fostering a culture of innovation and continuous improvement. Solution Architecture & Design: Architecting and overseeing the design and implementation of scalable, robust, and cost-effective solutions using Python and various Azure services. T...

Role Summary: A Python + Azure Executive role typically encompasses a leadership position focused on leveraging Python programming within the Microsoft Azure cloud platform. Key Responsibilities: Strategic Planning & Vision: Defining and executing the technical strategy for Python-based solutions on Azure, aligning with overall business objectives. Team Leadership & Mentorship: Leading, mentoring, and developing a team of engineers or data scientists, fostering a culture of innovation and continuous improvement. Solution Architecture & Design: Architecting and overseeing the design and implementation of scalable, robust, and cost-effective solutions using Python and various Azure services. T...

Immediate Requirement : Azure Data Engineer - Azure Data Factory, Azure Databricks, Azure Synapse, Azure Fabric, and Data Lake. Hands-on experience in Infrastructure setup and data pipeline orchestration(8 10 Years Experience) Vijayawada We are looking for experienced Azure Data Engineers with 810 years of hands-on experience to join our team in Vijayawada. This is a permanent, work-from-office position. Role : Azure Data Engineer Experience : 8-10 years Employment Type : Permanent Salary : Will be discussed during the interview process Key Skills Required: Strong experience in Azure Data Factory, Azure Databricks, Azure Synapse, Azure Fabric, and Data Lake Hands-on experience in Infrastruct...

We are hiring a Senior Azure Data Engineer to build scalable data pipelines using Azure Databricks, PySpark, and Spark Pools. The role involves transforming raw data into insights, integrating cloud data platforms, and deploying machine learning models. Candidates should have 5+ years of data engineering experience and strong skills in Python, PySpark, Azure Data Lake, and Blob Storage. Experience with ML tools like MLlib or TensorFlow is preferred. The role demands strong problem-solving and communication skills, with added value for those familiar with CI/CD, Git, Docker, or Power BI.

Role & responsibilities Azure Databricks, ADF, SQL; Datastage (good to have) Develop and manage data pipelines using ADF and Azure databricks; Expert knowledge in data warehousing, data modeling and ETL; Good to have datastage exposure; Expertise in on-prem to azure cloud migration; Excellent communication and team leading capabilities; Expertise in SQL and Pyspark; Experience in production support of ADF jobs; • Azure SQL DB • Azure Data Factory • Azure Databricks • ADLS • Python/Pyspark • Data modeling • Data warehousing Nice to have • Datastage • Azure devops Job Location : Bangalore(WFO 5 days) 8 hrs between 8.30 AM - 8.30 PM (Shift basis - Mandatory WFO) Mok@teksystems.com

We are hiring a Senior Azure Data Engineer to build scalable data pipelines using Azure Databricks, PySpark, and Spark Pools. The role involves transforming raw data into insights, integrating cloud data platforms, and deploying machine learning models. Candidates should have 5+ years of data engineering experience and strong skills in Python, PySpark, Azure Data Lake, and Blob Storage. Experience with ML tools like MLlib or TensorFlow is preferred. The role demands strong problem-solving and communication skills, with added value for those familiar with CI/CD, Git, Docker, or Power BI.

We are looking for a skilled Azure Data Engineer with 8 to 20 years of experience. The ideal candidate will have expertise in designing and implementing data pipelines using Azure services. Roles and Responsibility Design, develop, and deploy scalable data pipelines using Azure Data Factory (ADF) and Azure Synapse. Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. Develop and maintain large-scale data architectures on Azure Cloud. Ensure data quality, security, and compliance with industry standards. Optimize data processing workflows for performance and efficiency. Troubleshoot complex technical issues related to data engineering. Job Require...

We are looking for a skilled Azure Synapse Analyst with 10-15 years of experience to join our team in [location to be specified]. The ideal candidate will have a strong background in Azure Synapse and excellent analytical skills. Roles and Responsibility Design, develop, and implement Azure Synapse solutions to meet business requirements. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and ETL processes using Azure Synapse. Troubleshoot and resolve technical issues related to Azure Synapse. Provide expert-level support for Azure Synapse-related projects. Stay up-to-date with the latest trends and technologies i...

6+ years of experience in Data engineering projects using COSMOS DB- Azure Databricks (Min 3-5 projects) Strong expertise in building data engineering solutions using Azure Databricks, Cosmos DB Strong T-SQL programming skills or with any other flavor of SQL Experience working with high volume data, large objects, complex data transformations Experience working in DevOps environments integrated with GIT for version control and CI/CD pipeline. Good understanding of data modelling for data warehouse and data marts Strong verbal and written communication skills Ability to learn, contribute and grow in a fast phased environment Nice to have: Expertise in Microsoft Azure is mandatory including co...

Notice Period: Immediate Joiners Job Description: Must have skills Azure DataBricks, Python And Pyspark, Spark. Please find the JD In the mail chain Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on experience in Azure Databricks , Data Factory, Data Lake store/Blob storage, SQL DB Experience in creating Big data Pipelines with Azure components Hands on programing with Python Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming Experience with messaging systems, such as Kafka or RabbitMQ Good understanding of...

Your Role We are looking for the candidate who have 10- 15 yys of experience in Azure, Azure Databricks for Bangalore location. Technical Skills : Azure Databricks : Proficient in using Databricks for scalable data processing and analytics. SQL : Strong command over SQL for querying, transforming, and managing relational databases. ETL Processes : Hands-on experience in designing, developing, and maintaining robust ETL pipelines. Data Warehousing (DWH) : Solid understanding of data warehousing concepts, architecture, and tools. Your Profile Key Responsibilities : Independently work on assigned user stories and development tasks. Create, manage, and optimize Databricks notebooks for data tran...

Your Role Design, develop, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Strong proficiency in Microsoft Fabric and related technologies Understanding of Data Governance principles and practices CertificationsFabric DP-700 & DP-600 certification is preferred Implement ETL solutions to integrate data from various sources into Azure Data Lake and Data Warehouse Hands-on experience with SQL, Python, PySpark for data processing Expertise in building Power BI dashboards and reports Strong DAX and Power Query skills Experience in Power BI Service, Gateways, and embedding reports Develop Power BI datasets, semantic models, and row-level security for data ...

About The Role Project Role Application Developer Project Role Description Design, build and configure applications to meet business process and application requirements. Must have skills Microsoft Azure Databricks, Apache Spark, Microsoft Azure Data Services Good to have skills NA Minimum 3 year(s) of experience is required Educational Qualification 15 years full time education Summary As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly wit...

Responsibilities: Develop and maintain data pipelines using Azure Devops, Jenkins, or Gitlab CI Optimize performance through Power BI reporting & analytics. Act as a scrum master, manage agile ceremonies, sprint planning and backlog prioritization Work from home Flexi working

Role : Lead DataEngineer Experience : 10 +Yrs Location : Hyderabad Mode : [Onsite / Hybrid] Notice Period Preference : [Immediate / 15 Days] Job Description 1. Data Architecture & Solution Design * Architect end-to-end data solutions on Azure, leveraging services like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and ADLS Gen2. * Design and implement modern data architectures, including Data Lakehouse and Medallion (BronzeSilver–Gold) architectures. * Define standards for data ingestion, transformation, and storage across structured, semi-structured, and unstructured data. * Ensure alignment of data solutions with enterprise data strategy, security, and compliance frameworks...

Role & responsibilities: Develop and maintain ETL processes using Python and PySpark. Design and implement data pipelines and workflows. Optimize and fine-tune data processing applications. Collaborate with data scientists and analysts to understand data requirements. Ensure data integrity and consistency across systems. Write clean, scalable, and maintainable code. Monitor and troubleshoot data processing jobs. Preferred candidate profile Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends...

Role & responsibilities Must have 7-8 years experience in DWH/Big Data background (preferably in Telco domain) Proven expertise with Azure Data Bricks & basic understanding of Informatica mappings. Technical Skills: Advanced proficiency in Python and SQL for data manipulation and pipeline development. Deep understanding of data modeling for OLAP, OLTP, and dimensional data models. Experience with ETL/ELT tools like Azure Data Factory or Informatica. Familiarity with Azure DevOps for CI/CD pipelines and version control. Must have good experience in Databricks on Azure (3-4 years) Must have Oracle PL/SQL scripting experience (3-4 years) Must have good communication skills to handle client and ...

Primary Skills Databricks, Python, Dimensional Modelling & Data warehousing Design, develop, and optimize scalable data pipelines and frameworks on Azure Cloud using services such as Azure Data Lake Gen2, Implement robust ETL/ELT workflows leveraging Databricks and orchestrate data jobs using Apache Airflow. Apply advanced dimensional modelling techniques to support analytics and reporting requirements. Deploy solutions using CI/CD pipelines for seamless deployment and integration of data engineering solutions. Ensure high data quality and system reliability by implementing automated testing, deployment, and monitoring practices. Collaborate with cross-functional teams to gather requirements...

Role & responsibilities Handson experience in Core Python programming w.r.t. ETL and DWH projects/assignments - Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) - Proficiency in Azure Cloud Services. - Solid Understanding of Spark and PySpark for big data processing. - Experience in relational databases. - Knowledge on Databricks Asset Bundles and GitLab.

Role & responsibilities Serve as a technical resource in managing and developing governance, process and procedures for the database ETL environment Resolve increasingly complex problems and develop and implement solutions where expertise is required to interpret against policies, guidelines or processes Collaborate, consult, and present technical information to Environment Management Serve as a technical resource in managing and developing governance, process and procedures for the database ETL environment Resolve increasingly complex problems and develop and implement solutions where expertise is required to interpret against policies, guidelines or processes Collaborate, consult, and pres...

Skill: Senior Data Engineer (L4) Python & Azure Job Overview: We are seeking a highly skilled Senior Data Engineer with deep expertise in Microsoft Azure data ecosystem to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will play a key role in building robust data solutions that support advanced analytics, BI, and AI workloads across the organization. This role involves working with cross-functional teams — data scientists, analysts, and business stakeholders — to ensure high-quality, secure, and performant data delivery. Total experience : 8 to 10 years Key Responsibilities: 1. Data Architecture & Pipeline Development Design, develop, and maintai...

Role & Responsibilities 1. Design and implement data pipelines for ingesting data from various sources (databases, cloud storage, streaming platforms) into Snowflake. 2. Deep understanding of Snowflake's architecture, features, and best practices. 3. Implement data transformations using ETL tools like Matillion or ADF and quality checks within the pipelines. 4. Experience in various Ingestion methods in Snowflake (Copy, Snowpipe, Dynamic tables, streams and tasks) 5. Deep understanding about EDW Concepts, CDC Mechanisms, Dimensional Modeling concepts 6. Optimize and maintain Snowflake data warehouse and query performance. 7. Integrate Snowflake with various data sources and third-party tools...