1053 Azure Synapse Jobs - Page 2

Are you ready to design, build, and scale next-gen data solutions? Do you thrive on turning data into decisions and guiding teams toward success? What Were Looking For: 10+ years in Datawarehousing & ETL Hands-on with Azure, Databricks, ADF, Synapse, PySpark/Python Strong in STTM (Source-to-Target Mapping), design & documentation mentor at heart who can guide junior talent Good to Have: Certifications in Azure/Data Engineering Banking exposure in Risk & Regulatory / Commercial / Credit Cards / Retail What You'll Achieve With Us: Architect & optimize cloud-first data ecosystems Solve real-world enterprise-scale data challenges Be the trusted expert in a high-impact role Grow into leadership a...

Overview: As a Data Engineer you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure Synapse Analytics and other Big Data related technologies). In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations. Experience in Databricks and Spark on other cloud platforms like AWS and GCP is also relevant. Responsibilities: • Defines, designs, develops and test software components/applications using Microsoft Azure- (Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Logic Apps, Azure SQL database, Azure Key Vault...

Main Roles and Responsibilities : - Design, develop, and implement ETL pipelines for the continuous deployment and integration. - Collaborate with other data engineers and data scientists to understand data requirements and optimize data solution processes. - Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements - The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.) - Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics a...

You will be responsible for leading the Data Center of Excellence (CoE) and driving growth in Data Engineering & Analytics areas. Your key responsibilities will include: - Driving the growth of the Data CoE by developing capabilities and differentiators in data architecture, data engineering, data analytics, data quality, and governance. - Scaling the Data Engineering practice by establishing foundational standards, hiring top talent, and building NextGen data solutions, methodologies, and frameworks. - Defining and executing data modernization strategies to enable real-time analytics, AI/ML adoption, and enterprise-wide digital transformation. - Designing and delivering modern data platform...

Role Overview: As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines for large-scale data processing. Your expertise in Python, Spark, Databricks, and Azure will be crucial in handling complex data engineering tasks. You will work with cloud platforms, specifically Azure, to process and analyze large datasets efficiently. Key Responsibilities: - Design, build, and optimize scalable data pipelines using Python and Apache Spark. - Utilize Azure Databricks and PySpark for big data processing and analysis. - Implement data integration and orchestration using Azure Data Factory. - Utilize Azure Data Lake Storage for big data analytics a...

Job Role Overview Title : Senior Power BI Developer Key Responsibilities Design and maintain data pipelines using Microsoft Fabric Lakehouse, Pipelines, and Dataflows. Build analytics-ready datasets using SQL and PySpark. Develop dashboards and semantic models in Power BI. Integrate ERP and business systems into unified models. Ensure data quality, lineage, and compliance (e.g., GxP, 21 CFR Part 11). Collaborate with global stakeholders and data scientists. Use Azure DevOps for agile delivery and CI/CD. Provide production support and maintain documentation. Major Skills Required Microsoft Fabric Lakehouse architecture Pipelines and Dataflows Real-time analytics and OneLake integration DP-700...

Responsibilities: Design and implement Azure data solutions using ADF, ADLS, Synapse, SQL Azure, Blob Storage. Collaborate with cross-functional teams on project requirements and deliverables.

Job Title: Senior Data Engineer/ Technical Lead Location: Pune Employment Type: Full-Time Experience Level: Senior Summary: We are seeking a Senior Data Engineer who will be responsible for architecting and maintaining scalable data pipelines, executing on advanced data management strategies, and collaborating with cross-functional teams for data integration and analytics. This expert-level position combines technical fluency with business-oriented problem solving to maximize the value of organizational data assets. Key Responsibilities: Work with data and teams to solve business problems, building and maintaining the infrastructure to answer questions and improve processes Build data pipeli...

We are looking for a skilled Lead Data Engineer with 10-15 years of experience to lead our team in designing, implementing, and optimizing scalable data solutions using Azure data services. The ideal candidate will have a strong background in data engineering best practices, data modeling, and ETL processes. Roles and Responsibility Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Collaborate with cross-fu...

We are looking for experienced Azure Data Engineers with 810 years of hands-on experience to join our team in Vijayawada. Key Skills Required: Strong experience in Azure Data Factory, Azure Databricks, Azure Synapse, Azure Fabric, and Data Lake Hands-on experience in Infrastructure setup and data pipeline orchestration Expertise in SQL, ETL pipelines, and Data Modeling Experience working with Lakehouse and Medallion Architecture (BronzeSilverGold layers) Good understanding of cloud data architecture, data governance, and security best practices Strong analytical, problem-solving, and communication skills Ability to collaborate with cross-functional teams and deliver end-to-end data solutions...

Azure DE (4 to 5 yrs exp) Job Title Senior Data Engineer Key Responsibilities: Data Pipeline Development: Develop & deploy data pipelines using Azure OneLake, Azure Data Factory, and Apache Spark, ensuring efficient, scalable, and secure data movement across systems. ETL: Implement ETL (Extract, Transform, Load) workflows, optimizing the process for data ingestion, transformation, and storage in the cloud. Data Integration: Build and manage data integration solutions that connect multiple data sources (structured and unstructured) into a cohesive data ecosystem. Use SQL, Python, Scala, and R to manipulate and process large datasets. Azure OneLake Expertise: Leverage Azure OneLake and Azure S...

Immediate Requirement: Azure Data Engineer (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. 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 Infrastructure setup and data pipeline orchestration Expertise in SQL, ETL pipelines, and Data Modeling Experience working with Lakehouse and Medallion Architecture (BronzeSilverGold layers) Good understanding of cloud data architecture, data gover...

Azure Data Engineer- Immediate joiners only Please find the JD below for the same : We are looking for an experienced Data Engineer to drive the development of scalable, secure, and high-performance data solutions. This role requires deep technical expertise in Python, Apache Spark, Delta Lake, and orchestration tools like Databricks Workflows or Azure Data Factory. The ideal candidate will also bring a strong understanding of data governance, metadata management, and regulatory compliance in the insurance and financial services domains. Proficient in developing Python Applications, Spark-based workflows, leveraging Delta Lake, and orchestrating jobs using Databricks Workflows or Azure Data ...

As a Lead Data Engineer at Weekday's client, you will play a crucial role in designing, building, and optimizing scalable data pipelines for large-scale data processing. Your expertise in Python, PySpark, SQL, and Azure technologies will be utilized to handle complex data engineering tasks efficiently. Here's what you can expect in this role: **Key Responsibilities:** - Design, build, and optimize scalable data pipelines using Python and Apache Spark. - Utilize Azure Databricks and PySpark for big data processing and analysis. - Implement data integration and orchestration using Azure Data Factory. - Utilize Azure Data Lake Storage for big data analytics and transformation. - Write efficient...

As a Senior Azure Data Engineer, your role will involve designing and implementing data pipelines using Azure Synapse from a variety of data sources and file formats into SQL Server database. You will also be responsible for implementing batch and real-time data pipelines from various sources to the data warehouse and data lake. Working with the Data Architect on new data projects by building data pipelines and master data management will be a key part of your responsibilities. Additionally, you will perform data analysis, extraction, cleansing, column-mapping, data transformations, and data modeling based on business requirements. Monitoring and troubleshooting data pipelines to ensure data...

As a Data Engineer, your role involves designing and developing business-critical backend systems using stream processors and high-quality data pipelines. Your responsibilities will include: - Assembling large, complex data sets that meet functional / non-functional business requirements. - Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure "big data" technologies. - Creating a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond. - Developing a data pipeline to provide actionable insights into customer acquisition, operational efficiency,...

Experience Required: 5 to 7 Years Mandate Mode of work: Remote (India) Skills Required: Azure Data Factory, Databricks, Pyspark, Python/Scala , SQL Notice Period : Immediate Joiners/ Permanent (Can join Immediately by 10th November 2025 ) 5 to 6 years of experience with Big Data technologies Experience with Microsoft Azure cloud platform. Expertise in Azure Databricks, Azure Data Factory, SQL, Pyspark, ADLS, Delta Lake Experience in SQL and experience with SQL-based database systems. Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage . Experience with data integration and ETL (Extract, Transform, Load) processes . Experience with...

Position: Full Stack Developer (Data Engineering Focus) Location: Remote (Pune preferred) Experience Required: 5+ Years We are looking for candidates who are : Fluent in English. 5+ years of progressively responsible experience in data engineering with a focus on data modelling and 3+ years in data engineering (Microsoft Fabric or Azure Synapse) and report development (Power BI). Proven track record as a Data Engineer or similar role, and in Power BI development, including Paginated or SSRS reports . Experience in Data Lake and Data Lakehouse implementation (e.g., Microsoft Fabric, Azure Synapse, Databricks, Snowflake, Microsoft SQL Server, Apache Spark/Hadoop, or other similar big data or S...

Must have 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure Good to have Understanding of other cloud services of AWS, GCP Experience in data modeling for data warehouses PoC execution experience in Microsoft Fabric ...

Role & responsibilities 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure

Must have 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure Good to have Understanding of other cloud services of AWS, GCP Experience in data modeling for data warehouses PoC execution experience in Microsoft Fabric ...

Role & responsibilities 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure

Role & responsibilities 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure

Role Overview: As a Data Analytics Specialist, you will be an integral part of our dynamic team, utilizing your strong analytical thinking skills and proficiency in various data analytics tools to lead and guide team members in executing data analytics projects. Your passion for transforming raw data into actionable insights and collaborating with clients will drive the success of our projects. Key Responsibilities: - Utilize analytical thinking to approach complex business problems effectively. - Proficiently work with tools such as Power BI, SSRS, Azure Synapse Analytics, T-SQL, Python with PySpark or Pandas, SSIS, and SSAS. - Guide and mentor team members in data analytics projects, ensur...

As an AI-Enabled Data Engineer at our company, you will play a crucial role in developing scalable data solutions that support advanced analytics and AI-driven insights. **Key Responsibilities:** - Develop and optimize complex SQL queries across Teradata, Snowflake, and Databricks platforms. - Design and implement scalable data pipelines and ETL processes in Azure. - Collaborate with AI/ML teams to integrate models into data workflows and production environments. - Ensure data quality, governance, and security across cloud and hybrid data platforms. - Monitor and troubleshoot performance issues in data systems and pipelines. - Automate data ingestion, transformation, and delivery using Azure...