Data Engineer

Key Responsibilities · Creating complex, enterprise-transforming applications on diverse, high-energy teams · Working with the latest tools and techniques · Hands-on coding, usually in a pair programming environment · Working in highly collaborative teams and building quality code · The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation. · The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models Essential Skills & Prerequisites · Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's/Master degree with 6 years of experience · Proven experience as a Data Engineer or similar role for a minimum of 3 years experiences. · Hand-on Development experience with strong proficiency on ETL programming languages such as Spark SQL, Python, Pandas, PySpark, Apache, Scala Spark and Distributed computing in Hadoop Platform (Hive, HDFS and Spark) · Development and implementation experience of applications for 4-6 years. · Knowledgeable of data warehousing concepts and technologies. · 3 to 5 years' experience with SQL Related Programming · 3 to 5 years' experience designing and developing in Python. · 2 to 3 years' experience in Hadoop Platform (Hive, HDFS and Spark) · 2 to 3 years' experience with Bash (Linux/Unix) shell scripting · 2 to 3 years' experience with Spark programming. · Knowledge of micro-services architecture and cloud will be added advantage. · Knowledge of Java, Oracle, Scala and other data programming (ETL) languages will be added advantage · Good experience in CI/CD pipeline and working in Agile environment. · Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc. Mandatory Skills · Hand-on Development experience with strong proficiency on ETL programming languages such as Spark SQL, Python, Pandas, PySpark, Apache, Scala Spark and Distributed computing in Hadoop Platform (Hive, HDFS and Spark) · Development and implementation experience of applications for 4-6 years. Knowledgeable of data warehousing concepts and technologies. · 3 to 5 years' experience with SQL Related Programming · 3 to 5 years' experience designing and developing in Python. · 2 to 3 years' experience with Bash (Linux/Unix) shell scripting Desired · A Bachelor’s degree or higher preferably in Computer Science, Information Technology, or a related field. · Additional experience on developing service-based application · Excellent analytical skills: Proficient in MS Office and able to produce board-level documentation · Fluency in written and spoken English; Good communication and interpersonal skills · Ability to develop ETL processes for data extraction, transformation, and loading is an advantage. · Self-starter who sets and meets challenging personal targets, Detailed person, with a big picture outlook · Understanding of current technologies employed by Tier 1 Investment Banking Institutions · Must be a team player · Working in financial/banking industry is an advantage. · Avaloq knowledge/skillset is good to have.