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Senior Data Engineer

Sydney, FL | Full Time
9 Days Ago

Job Description

See yourself being part of a large, transformational change? This could be the role for you! Who We Are: At Iress, we believe technology should help people perform better every day. Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. From the world’s most established financial brands to new and disruptive players, we help improve every aspect of our clients’ businesses so that they can work better, every day. Iress is one of Australia’s largest technology companies and employs more than 1,900 people across Australia, United Kingdom, South Africa, Canada, New Zealand and Asia. The Role: We have multiple Data Engineer roles available across Sydney and Melbourne across our Investment Management and Wealth teams. You’ll be part of a collaborative, AGILE team passionate about developing high performance, scalable web applications. You will be experienced across Python and ETL tools like Snowflake or others. We're passionate about improvement as we introduce continuous integration and continuous delivery best practices into our engineering environment. You'll work alongside talented Engineers who are passionate about keeping up to date with the latest trends and tools while having access to formal training opportunities at Iress. What you will be doing: Develop world-leading products for financial markets and wealth management domains using modern tools and techniques Be involved from analysis through to testing design Review and analyse business requirements, developing solutions to enhance the Iress product offering and the end user experience Execute end-to-end testing, automated testing and increase test coverage of our wealth product What you will need: Strong ETL / Senior Data Engineering experience in large scale data environments Experience using multiple languages -Python, C#, .Net, C ,Java Experience in building, designing or leveraging API techniques including RESTful, SOAP or socket based Devops experience in a cloud environment including deployment and architecture, Terraform will be an advantage Database experience and understanding of object orientated program Ability to structure test code effectively and write robust test cases Why work with us? 6 paid days per year to extend your weekends State-of-the-art offices Equity grants for our top 25% performers Annual Profit Share when Iress meets its annual profit targets Access to learning and development programs through Udemy 3 days’ leave per year for charity initiatives Global 36-hour hackathon Starting school leave - 8.5 days of leave to assist your kids with the transition to school Discounted health insurance premiums Up to 26 weeks’ paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work. Employment Type Employee Time Type Full time

Skills for Senior Data Engineer

The job skills required for Senior Data Engineer include Python, Data engineering, ETL, Analysis, Java,and Initiative etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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Career Path for Senior Data Engineer

The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

How to Become a Senior Data Engineer

If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1 Understand the job description and responsibilities of a Senior Data Engineer

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Step 2 Knowing the best tips for becoming a Senior Data Engineer can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs
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Step 3 View the best colleges and universities for Senior Data Engineer

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