Big Data Engineer
Makati, Philippines
Avaloq
Partner with a premium cloud banking software and service provider. Increase your efficiency and improve client experience.Company Description
Writing the future. Together.
Avaloq is a value driven, fast-paced financial technology and services company and we are committed to developing the banking solutions of tomorrow.
By joining Avaloq, you’ll become a key part of our effort to power the digital transformation of the financial services industry. Our ambition is big and bold – to provide full end-to-end digital solutions by combining our leading efficiency with a flexible, responsible digital user experience. Headquartered in Zurich, Avaloq has over 2,000 employees globally. More information is available at www.avaloq.com
Job Description
Your team
We are an international and multidisciplinary team with backgrounds in Computer Science, Engineering, Data Science and Product Management from different industries. We are building the advanced data analytics cloud platform for wealth management and banking. Our big data analytics platform helps financial institutions to deliver premium individualized services to their customers by leveraging the value of data.
We are looking for big data engineers contributing to the evolution of our data analytics platform, including the data integration from our streaming framework, developing our scalable storage layer, building distributed transformation pipelines, enabling next-gen business intelligence, and building the backbone to provide scalable and collaborative analytics.
Your mission
- Closely collaborate with the Product Owner, Business Analysts and other Software Engineers distributed worldwide
- Implement Data Pipelines in Java
- Implement Data Analytics - Big data exploration, extraction, processing and ingestion to different SQL and NonSQL storage systems
- Design, develop and maintain thought-out solutions within the team’s responsibility
- Improve and optimize existing functionalities
- Develop and maintain automated tests
- Take ownership and responsibility for your area of expertise
- Ensure high quality on the delivery and efficient communication
Qualifications
What you need:
- University degree in Computer Science/Physics/Engineering/Mathematics or comparable education
- At least 2-3 years of work experience in the fintech or financial sector
- Proven experience in implementing Microservices
- Practical experience implementing container platforms, preferably OpenShift / Kubernetes
- Familiarity in streaming technology like Kafka, Kafka Connect
- Strong analytical, problem solving and conceptual skills
- Competent in one or more programming and scripting languages
- Fluent in spoken and written English
- Experience in Big Data / Data Analytics productive environments, using technologies such as distributed SQL engines / file systems
- Proficiency in Stream Processing, Streaming Data, and Data Pipelines
- Hands-on experience with Snowflake
You will get extra points for the following:
- Experience with Distributed SQL engines
- Understanding of data visualization using software like Tableau, Qlik, PowerBI, Yellowfin
- Practical experience on Infrastructure as code like Terraform
- Banking know-how or experience working on financial solutions
- Knowledge of JavaScript and Python
- German, Italian or French language skills
- Work Experience in team with Agile Scrum
- Expertise in data warehousing, modelling and data management tools
- Knowledge and experience on Avaloq Banking Suite
Additional Information
Now lets talk about perks and compensation
We offer high flexibility in regards to working models (e.g. part time and home office models are possible depending on business requirements). Our base salaries are competitive and if you prove to be a superstar, you might even be entitled to an extraordinary achievement reward. Avaloq aims to share its success with all its employees by paying out “Success Share Units” depending on its performance in a given year.
At Avaloq we embrace diversity, we embrace difference. We are whole-heartedly committed to equal employment opportunities and we foster an inclusive culture where everyone’s' contributions are valued and their voices are listened to. We hire, compensate and promote regardless of origin, age, sexual orientation, gender identity or any other fascinating characteristics that make us different. Please note that our job descriptions are intended to be written in an inclusive and gender neutral language.
Don’t be shy – apply!
Please only apply online.
Note to Agencies: All unsolicited résumés will be considered direct applicants and no referral fee will be acknowledged.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Big Data Business Intelligence Computer Science Data Analytics Data management Data pipelines Data visualization Data Warehousing Engineering FinTech JavaScript Kafka Kubernetes Mathematics Microservices Physics Pipelines Power BI Python Qlik Scrum Snowflake SQL Streaming Tableau Terraform
Perks/benefits: Competitive pay Flex hours Flex vacation
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