101 to 125 of 181 Azure Synapse Analytics Jobs

role if this suited the individuals’ desires and capabilities. Essential Skills Proven experience as a Data Architect (or similar/related role) Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Big Data Experience with Enterprise level Data sets Experience … lead and mentor other team members Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure. Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Experience in using Git, Azure ...

data governance policies. Automate routine database tasks using scripts or DevOps tooling. Cloud & Infrastructure Architect and implement cloud data solutions using services such as Azure Data Factory or Azure Data Lake. Integrate data from various cloud and on-premises sources into unified analytical platforms. Collaborate with DevOps teams … related discipline. Hands-on experience in database or data engineering roles. Proven track record in designing and implementing cloud-based data solutions (preferably in Azure). Expert-level SQL and database design (normalisation, indexing, query optimisation). Strong experience with ETL/ELT tools. E.g. Azure Data Factory ...

with 1-2 years of experience who is looking to develop their analytical skills and gain hands-on experience with SQL, Power BI, and Azure data platforms. You will help transform internal and customer data into clear insights that support business decisions. You'll work closely with both technical … support business decision-making Assist in designing and maintaining dashboards and reports in Power BI Write and optimise SQL queries to support reporting and analytics needs Support ETL/ELT processes using Azure Data Factory Help maintain data quality, governance, and performance in line with best practices Collaborate ...

cutting edge cloud data technologies. Senior Data Engineer Responsibilities: Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process … Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight. Apply best practices in data governance, data quality, and performance optimisation. Operate in an agile ...

Make sure master data is accurate, secure, and well governed Provide high-quality data for our group-wide ERP system Support enterprise reporting and analytics across the business Ideal Experience 3+ years data engineering experience 2+ years hands-on Microsoft Fabric (Data Factory pipelines, Lakehouse) or Azure Synapse ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...

from multiple sources (databases, APIs, event streams, files) • Optimize Spark jobs for performance, scalability, and cost • Manage data quality, validation, and monitoring • Collaborate with analytics and ML teams to support reporting and model development • Implement CI/CD, version control, and automated testing for data pipelines Required Qualifications • 3+ … experience as a Data Engineer • Strong experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault ...