Average salary: $2,006 /weekly
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- ...About you You hold a tertiary qualification or bring more than five years of experience in this field. You're confident working with SQL SP and have a solid understanding of SSIS/RS, along with good working knowledge of Power BI. Your strong analytical and numerical...
$74815 - $90347 per year
...skills, including the ability to interpret results and explain key drivers * Experience working with large datasets using tools such as R, SQL, or SAS * Clear communication skills, including the ability to explain technical concepts in plain language * A collaborative approach...- ...configuration and support, managing small to medium software projects, contributing to the Enterprise Integration Application engine, and using SQL and Power BI to analyse data and develop dashboards. You’ll also help drive the adoption of AI tools and maintain governance and...
- ...timely insights. Ngā uara me ngā pūkenga e angitu ai koe | What you'll need to succeed • Experience in IT support and knowledge of SQL. • An interest in data, modelling, and problem-solving. • Curiosity and a willingness to adapt based on shifting priorities. • An...
- ...engineering career or an up-and-coming engineer who can learn quickly and work with minimal supervision. You'll apply your skills in Microsoft SQL Server ****, SQL Server Integration Services, Python, REST API integration, Git source control, and routine data load monitoring. Day-...
- ...experience with DBTProven experience with Snowflake – schema design, performance optimization and role-based accesssSolid understanding of SQL and data warehousing best practicesGood understanding of telecom business models, systems, and data typesFamiliarity with ELT...
$74815 - $90347 per year
...Manipulate, summarise and analyse large quantitative datasets using Excel, and database products and programming languages such as SQL, SAS or R The ability and willingness to adhere to the Public Service Standards of Integrity and Conduct. About our group and team...- ...and leadership decisions. You'll also play a key role in shaping future AI and ML initiatives. Skills & Experience: Excellent SQL and experience with large datasets. Proven ability to build pipelines (ideally using AWS Glue, Athena, S3) Confident in creating dashboards...
- ...experience. Proven software development skills in Python, Java, C#, orJavaScript/TypeScript. Experience with backend services, databases (SQL/NoSQL), and cloudplatforms (AWS/Azure/GCP). Knowledge of APIs, payment systems, and e-commerce integrations. Familiarity with AI/...
- ...logical skills Effective communication Ability to work collaboratively with internal and external stakeholders Proficiency in SQL database management Familiarity with Sage 300/Netsuite is a plus Ngā hua ka whiwhi i a koe | What you'll get in return Support...
- ...Engineering. Solid experience in Java would be beneficial and a proven track record of supporting cloud-native applications. Advanced SQL skills and deep experience with modern data warehouses—ideally Snowflake and dbt. Hands-on experience with streaming and batch...
$500 per year
...complex data quality issues, improve detection and monitoring, and ensure our core datasets remain accurate and trustworthy. Using Snowflake SQL, Python, and AI-driven tooling, you’ll automate manual workflows, resolve data quality problems at scale, and help the business move...- ...senior data engineering role, with experience in platform administration Strong expertise in PySpark and Microsoft Fabric Advanced SQL proficiency for data modelling and transformation Proven capability with Azure Data Factory and cloud-based data services Hands-...
- ...experience of unit release integration regression end to end and UAT testing. Experience with relational database-based query tools e.g. SQL. A collaborative agile mindset with a proactive approach to problem-solving and continuous improvement. Hands-on experience...
- ...Junior Data Engineer to grow your technical expertise and step into leadership. Python, SQL, Snowflake, Azure Data Factory, Azure Synapse / Fabrics Collaborate with senior engineers in a supportive Wellington environment. ABOUT THE ROLE Our client is looking for...
- ...Strong analytical and conceptual thinking Experience in data management, reporting, and BI tools (e.g. Power BI, SAP Client, MS SQL, Business Objects) Confident problem solver, able to troubleshoot data and reporting issues Able to communicate insights clearly to...
- ...and statistical analyses. ~ Strong knowledge of feature engineering, model evaluation, and optimisation techniques. ~ Proficiency in SQL and experience with data warehouse technologies. ~ Experience working with big data technologies (e.g., Spark, Hadoop) and cloud...
- ...commercial experience in software development, ideally within a B2B SaaS environment ~Strong experience with C#, Entity Framework, SQL, and MVC ~Solid grounding in modern web fundamentals: JavaScript, HTML, CSS, and exposure to frameworks like React, Angular, or Vue...
- ...automation. Skills in the libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch are beneficial. Working knowledge of SQL, data pipelines, and data warehousing concepts, with experience collaborating closely with data engineering teams. Demonstrated...
- ...delivering data provisioning solutions. A strong background in various software development methodologies is essential. Proficiency in SQL is required and experience with Python is an advantage. Additionally, you will have experience with different data types, structured and...
- ...Tertiary qualification in a relevant discipline or equivalent professional experience. Programming Skills: Confident in Python R SQL Power BI and cloud-based analytics environments with capability or interest in machine learning AI and statistical modelling. Fraud...
- ...approaches. Support and/or deliver projects that align with the organisation's strategy. Skills and Experience Experience with MS SQL, SSIS, and SSRS. Proven experience with Snowflake. Strong experience with ETL pipelines. Hands-on experience with Azure Data...
- ...virtualization technologies public / private cloud. ~ Active Directory and Group Policy. ~ Database and reporting technologies: MS SQL Power BI MySQL Tableau etc. ~ Modern web-based applications including hosting troubleshooting security etc. ~ Security frameworks and...
- ...large datasets. Strong communication skills and ability to build relationships. Experience with data manipulation/modelling (SAS, SQL, etc.) preferred. Keen to develop personally and professionally. Insurance industry or pricing experience is a plus, but not...
- ...both manual and automated test cases. Developing detailed test plans to cover new features and emerging technologies. Using Python, SQL, or C# to enhance and build out automated testing systems. Engaging with engineers to understand the "big picture" of a feature,...
- ...ResponsibilitiesData & Integration: Lead hands-on testing for API integrations and large-scale data migrations.Quality Engineering: Perform complex SQL reconciliations and ETL/feed testing to ensure data integrity.Automation & CI/CD: Develop API-layer automation and integrate scripts...
- ...preferably with AWSExperience with 2 major languages such as Python, Javascript, JavaExperience with multiple data technologies such as SQL, NoSQL, messaging technologies such as RabbitMQ, KafkaAn understanding of how to iterate and progressively enhance software...
- ...experience) and strong analytical capability with the ability to interpret and present complex numerical data clearly. Proficiency in SQL R or Python with a preference for experience in R/R Shiny; knowledge of SNOMED CT (training provided) and AI/ML concepts is an...
- ...Schema and Big wide tables. Data engineering and building scalablerobust data pipelines using tools such as dbt. Writing efficient SQL queries. Integrating Snowflake with data processing frameworks particularlywith solutions such as Fivetran dbt Coalesce and PowerBI....
- ...customer behaviour. Technical capability ~ Strong working knowledge of Python for analysis and modelling. ~ Confident writing SQL to extract and transform data from large datasets. ~ Experience using common data science libraries (e.g. pandas, scikit-learn,...
