Responsibilities:
Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices.
Providing guidance and mentorship to junior team members
Actively contribute to the implementation of critical features and complex technical solutions.
Write clean, efficient, and maintainable code that meets the highest standards of quality.
Write defensive, fault tolerant and efficient code for data processing
Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
Quantexa Certified Data Engineer
Collaborate on scalability issues involving access to massive amounts of data and information.
Take on ad-hoc tasks as required
Required Skills:
Quantexa Certified Data Engineer or Experience with Quantexa
Familiarity with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Trino) is a valuable asset
Exposure to a range of table and file formats including Hive, Parquet and JSON
Experience in cloud native technologies and patterns (AWS, Google Cloud)
Experience of driving and/or influencing the data strategy of your team or organization
Nice to have skills:
Banking domain Domain knowledge
Education: Bachelors Degree
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