Big Data Solutions Architect
7 days ago
We are seeking a highly skilled Big Data Engineer to join our team at First Derivative, the world's largest Capital Markets dedicated consultancy. As a Big Data Engineer, you will have the opportunity to work on mission-critical projects, collaborate with experienced professionals, and contribute to the development of innovative solutions.
About the RoleThe successful candidate will have a strong background in software development, with experience in building large-scale distributed data processing systems and applications. They will also possess excellent communication skills, be proficient in writing clean code, and have expertise in programming languages such as Python, Kafka, Spark, SQL, Hive, Couchbase, Impala, Hadoop, Splunk, Autosys, and shell scripting.
In addition, the ideal candidate will have strong cloud experience on AWS Lambda, AWS EMR, AWS S3, AWS EC2, EKS, and proficiency in DevOps tools such as Snow, Build (TeamCity, Jenkins, Terraform), and U-Deploy. Knowledge of Capital Market and Data Analysis is also essential, as well as experience in dealing with huge volumes of data operations.
A Bachelor's Degree or Master's in Computer Science, Engineering, Software Engineering, or a relevant field is required, along with 10+ years of software development experience. The successful candidate will also have good knowledge of Linux-based infrastructures, Linux/Unix administration, and Cloud.
Key Responsibilities- Design and develop scalable, high-performance big data architectures
- Develop and implement efficient data processing pipelines using technologies such as Apache Kafka, Apache Spark, and Apache Hadoop
- Collaborate with cross-functional teams to identify business requirements and design solutions
- Implement and maintain data quality, security, and governance processes
- Provide technical guidance and support to junior engineers and other stakeholders
As a Big Data Engineer at First Derivative, you can expect a competitive salary of $140,000 - $180,000 per annum, depending on experience, plus a range of benefits including:
- Health insurance
- Pension scheme
- 25 days' annual leave
- Flexible working hours
- Professional development opportunities
We are an equal opportunities employer and welcome applications from diverse candidates. Please note that we do not discriminate based on age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Our Global Candidate Privacy Notice is available on our website.
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