26 to 50 of 4,846 Permanent SQL Jobs

big data architecture and performance optimisation. CI/CD & Automation: Skilled in Jenkins, GitHub Actions, and Python scripting for automated ETL and Power BI deployments. Data Engineering: Proficient in SQL, Spark, EMR, and data warehousing; experienced in optimizing ETL pipelines and Power BI models (DAX, refresh scheduling). Containerization & DevOps: Hands-on with Docker and Kubernetes; experienced in scalable, portable More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

and technology Demonstrated experience with non-SAP analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset Inclusive and able to More ❯

a highly skilled Data Engineer/ETL Developer with strong experience in data warehousing, ETL development, and Snowflake cloud data platforms. The ideal candidate will have advanced proficiency in SQL and Unix scripting to design, develop, and maintain scalable and efficient data pipelines that support business intelligence, analytics, and reporting needs. Key Responsibilities Design, develop, and maintain data warehouse solutions … Work extensively with Snowflake for data modeling, performance tuning, and data sharing. Develop and maintain Unix shell scripts for automation, job scheduling, and system monitoring. Write complex and optimized SQL queries, stored procedures, and performance-tuned scripts. Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver data-driven solutions. Implement best practices for data quality … in Computer Science, Information Technology, or a related field (or equivalent experience). 3-7 years of hands-on experience in data warehousing and ETL development. Strong proficiency in SQL (query optimization, complex joins, CTEs, window functions). Practical experience with Snowflake (data loading, virtual warehouses, security, cost optimization). Solid experience with Unix/Linux scripting and automation tools. More ❯

Medicaid Reports Developer Curam Products Location: Durham, NC, OnsiteRate : Best competitive rate Position Overview Tha client is seeking an experienced Medicaid Reports Developer with strong expertise inOracle PL/SQL, Azure Synapse, andCuram Products to support the NC FAST Medicaid Projects. This role focuses on designing, developing, and maintaining advanced reporting and analytics solutions that drive data-driven decisions within … change requests and defect resolutions. Key Responsibilities Design, build, and maintain data warehouses, semantic models, and reporting solutions for NC FAST Medicaid initiatives. Develop and optimize Oracle PL/SQL code for data processing, transformation, and reporting. Create and manage Azure Synapse pipelines, serverless SQL pools, and Spark pools for large-scale data analytics. Develop reports and dashboards using Power … to ensure timely delivery of solutions. Required Qualifications 5+ years of experience in programming and design of large-scale, web-based distributed systems. Strong expertise in Oracle PL/SQL, data modeling, andSQL scripting. Proven experience designing and managing data warehouses and ETL processes (Oracle Warehouse Builder or similar Strong understanding of relational databases including tables, views, indexes, grants, and More ❯

technologies.Expert-level proficiency in C#, .NET Framework, .NET Core, ASP.NET MVC, and Web API.Hands-on experience with front-end technologies such as Angular, React, or Blazor.Strong database skills with SQL Server (T-SQL, stored procedures, query optimizationExperience designing and integrating microservices and cloud-native applications.Familiarity with Azure cloud services, including App Services, Functions, Storage, and DevOps Pipelines.Strong understanding of object More ❯

experience of working with large data sets in an enterprise environment. Microsoft Data Components: You'll have strong experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Data Quality and Security: You'll have experience of using tools and techniques for ensuring data quality, security, validation and recovery. Analytical Skills: You possess strong … DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation and recovery. Strong analytical skills, with the ability to adopt a logical approach to solving problems. Data More ❯

for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure More ❯

for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure More ❯

A skilled SQL Migrations Developer is required to join a small but growing team. Initially, the successful candidate will be working on a large project to migrate a global client base numbering in the hundreds from multiple legacy applications into a single global Azure SaaS product. The developer will be expected to use their technical experience in designing a migration … innovation and continuous improvement to the team. Educational Requirements: Minimum 2.1 degrees in IT or an equivalent technical subject. Experience Required: Required - Minimum 5 years experience working in a SQL Developer role or similar title Required - Minimum 5 years working on ETL Data Migrations Required - Minimum 3 years working in Azure SQL environments in a SQL Development capacity Highly Desirable … Experience of Insolvency or Financial Services sectors. Technical Competencies Required: Advanced T-SQL MS SQL Server ETL and Migration Development SSIS Azure Data Factory Databricks Microsoft Fabric Advanced Microsoft Excel Highly Desirable: Azure Devops GIT Source control Jira Confluence mySQL Desirable: SSRS & Power BI SSAS SQL Utilities such as Redgate Other development experience includes C#, VB .NET, PHP, web applications More ❯

working closely with the Data analytics team focusing on ETL processes, creating roadmaps for their central data warehouse and working with stakeholders to gather requirements. Technical Skills Languages: Python, SQL Databases: Microsoft SQL Server (Azure SQL Database, SQLite) ETL Tools: SSIS, Azure Data Factory Cloud Platforms: SaaS and PaaS environments Reporting: Power BI Productivity Tools: Advanced Excel skills Comprehensive knowledge More ❯

degree in Computer Science or related field and 8+ years or Masters with 6+ years of experience 4+ years of experience developing and maintaining ETL processes using Microsoft SSIS, SQL, SQL Agent, and scripting languages including Powershell. 4+ years of experience with more than one of the follow scripting languages: SQL, T-SQL, Python, PySpark Experience working with Microsoft database … and business intelligence tools, including SQL Server, including stored procedures, SSIS, SSRS, SSAS (cubes), scripting languages including PowerShell Experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Syna Security Clearance: PUBLIC TRUST JOB DESCRIPTION Maintain and operate legacy ETL processes utilizing Microsoft SSIS, Powershell, SQL procedures, SSAS, .NET code … data requirements and develop appropriate data solutions. Support the design and implementation of data models and data pipelines for relational, dimensional, data lakehouse (medallion architecture), data warehouse, data mart, SQL and NoSQL data stores. Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Redevelop existing SSIS More ❯

autonomy, technical variety, and the satisfaction of keeping complex data systems reliable and efficient. 💡 Why this role? Work across a modern data stack — from ingestion to visualisation — using Python, SQL, Meltano, and Power BI . Join a small, high-impact team supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business’s data warehouse … a Python-based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures, and data ingestion from the warehouse. … Python-based dynamic pricing model and web scraping tools. 🎯 What we’re looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other More ❯

autonomy, technical variety, and the satisfaction of keeping complex data systems reliable and efficient. Why this role? Work across a modern data stack - from ingestion to visualisation - using Python, SQL, Meltano, and Power BI . Join a small, high-impact team supporting pricing, revenue, and market analytics. Play a key role in maintaining and optimising the business's data warehouse … a Python-based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures, and data ingestion from the warehouse. … Python-based dynamic pricing model and web scraping tools. What we're looking for: Experience across a modern data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other More ❯

backend Develop documentation for application and code Working with users and application stakeholders to verify and validate requirement Knowledge in writing packages/procedures for Java facing applications Write SQL queries, database triggers, PL/SQL, and packages according to the business requirements Basic Qualifications Bachelor's degree in Computer Science, technology, or related field of studies 2+ years' experience … inJava, JavaScript, C, C++, C# and Angular 2+ years' experience in SQL development, preferably Oracle 19c or higher 2+ years' working as part of a software development team 2+ years' performing technical documentation; design documents, and system design documents 2+ years' experience analyzing technical specifications Ability to pay attention to detail A strong desire to learn and accept new challenges … U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered Preferred Qualifications 2+ years' experience working with Java, ASP.NET with MVC, Visual C#, SQL, JavaScript, jQuery, and web services framework 2+ years' experience developing in a cloud-based environment, e.g. Azure Experience using standard SDLC methodologies 2+ years' experience in Agile development Knowledge of More ❯

Responsibilities Lead and support the development and optimisation of fraud detection and prevention strategies across all Financial Crime systems. Interrogate and analyse large and complex data sets using advanced SQL and data management tools to uncover patterns, trends, and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models … vendors, and industry peers to explore new detection techniques and system capabilities. Skills Strong background in Financial Crime or Fraud Analytics within a banking or financial services environment. Advanced SQL skills with proven ability to manage and analyse large-scale, complex datasets. Experience with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. … skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal qualifications but with equivalent experience will also be More ❯

ll Be Doing Lead the end-to-end design and development of Azure Data Factory pipelines , ensuring scalable and reliable data integration. Build and optimise Azure Synapse Analytics models, SQL pools, and data warehousing solutions. Govern and enhance enterprise Power BI datasets, semantic models, DAX performance, and reporting standards . Influence the data architecture across Azure Data Lake and wider … Power BI experience: enterprise modelling, datasets, DAX optimisation, performance tuning. Expert knowledge of Azure Data Factory ETL/ELT development. Strong proficiency in Azure Synapse Analytics , data warehousing, and SQL pools. Excellent SQL engineering capability across complex transformations and optimisation. Solid background with Azure Data Lake and cloud data architecture. Demonstrable experience delivering production-grade Azure data solutions. Clear communication More ❯

innovation through evaluation and adoption of emerging technologies. Support production deployments, troubleshoot complex issues, and maintain system reliability. Skills & Experience Essential: Strong experience in C# , ASP.NET , MVC , and MS SQL Server (T-SQL) . Proven track record in XML development and Web API/SOA architecture . Experience working with insurance pricing tools (ideally Rulebook or Hyperexponential) . Excellent analytical More ❯

innovation through evaluation and adoption of emerging technologies. Support production deployments, troubleshoot complex issues, and maintain system reliability. Skills & Experience Essential: Strong experience in C# , ASP.NET , MVC , and MS SQL Server (T-SQL) . Proven track record in XML development and Web API/SOA architecture . Experience working with insurance pricing tools (ideally Rulebook or Hyperexponential) . Excellent analytical More ❯

organise and produce work within deadlines. Skills - Good project and people management skills. - Excellent data development skills. - Excellent data manipulation and analysis skills using a variety of tools including SQL, Phyton, AWS services and the MSBI stack. - Ability to prioritise and be flexible to change those priorities at short notice. - Commercial acumen. - Able to demonstrate a practical approach to problem … design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. - Experience is building Data lake and building CI/CD data pipelines - A candidate is expected to understand and can demonstrate experience across the delivery lifecycle and understand both More ❯

or other professional environments that require continuous learning and regular communication of complex or challenging subject matter to business stakeholders. Skills: Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel. Statistical analysis tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/ More ❯

Python.Expertise in Python frameworks such as Django, Flask, or FastAPI.Strong understanding of object-oriented programming (OOP) and design patterns.Proficiency in RESTful API development and microservices architecture.Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.Strong knowledge of Linux/Unix environments and scripting.Familiarity with containerization and orchestration tools (Docker, KubernetesExperience with cloud platforms (AWS, Azure, or GCPUnderstanding of More ❯

Python.Expertise in Python frameworks such as Django, Flask, or FastAPI.Strong understanding of object-oriented programming (OOP) and design patterns.Proficiency in RESTful API development and microservices architecture.Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.).Strong knowledge of Linux/Unix environments and scripting.Familiarity with containerization and orchestration tools (Docker, Kubernetes).Experience with cloud platforms (AWS, Azure, or More ❯

years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯