Data Engineer Data Engineer
3 days ago
What do we do?
As a pioneer for digital transformation, GFT develops sustainable solutions across new technologies – from cloud engineering and artificial intelligence to blockchain/DLT. With its deep technological expertise, strong partnerships, and comprehensive market know-how, GFT offers advice to the financial and insurance sectors, as well as the manufacturing industry. Through the intelligent use of IT solutions, GFT increases productivity and creates added value for clients. Companies gain easy and safe access to scalable IT applications and innovative business models.
Who are we?
Having started in Germany in 1987, GFT Technologies has grown to become a trusted Software Engineering and Consulting specialist for the international financial industry, counting many of the world's largest and best-known banks as our clients. We are an organization that empowers you to not only explore but also raise your potential and seek out opportunities that add value. At GFT, diversity, equality, and inclusion are at the core of who we are. Ensuring a diverse and inclusive working environment for all communities is one of the main pillars of our diversity strategy, based on our core values and culture. We have been certified for 2022/23 as a 'Great Place to Work' in the APAC region. So, if you want to have the opportunity to work with an outstanding and progressive organization, this position could be right for you.
Role Summary
We are seeking a skilled Data Developer to support our data infrastructure, where kdb+ database system is a cornerstone of our data infrastructure, enabling us to process and analyze vast amounts of market data with extremely low latency.
Specific skills required:
- Python Programming:
- Strong proficiency in Python for data processing, analysis, and automation.
- Experience with libraries such as Pandas, NumPy, and PySpark.
- Ability to write efficient, maintainable, and scalable code for data pipelines and analytics.
- Data Engineering & Development:
- Experience designing and building robust ETL/ELT pipelines.
- Familiarity with data modeling, data warehousing concepts, and schema design.
- Proficiency in working with structured and unstructured data.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes) is a plus.
- Real-Time Data Feeds:
- Experience integrating data platforms with real-time messaging systems (Solace/ION/Kafka).
- Deep understanding of real-time market data feeds and data processing techniques.
- Financial Markets: Strong domain knowledge in Fixed Income, FX, and Equities trading.
- DevOps: Implement DevOps practices to automate the build, test, and deployment of data solutions.
- Monitoring Tools: Experience using tools like ITRS to monitor performance and health of data systems.
(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding.)
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