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.