Senior IT Analyst (Data Engineering)
- Permanent, Full time
- GIC Private Limited
- 31 Jul 17
We are one of the largest investment management in the world, with over 1000 people working together to create long-term value.
The Technology Department manages and exploits information technologies to enhance GIC’s ability to be the leading global long term investment firm. It aims to provide users with empowering and transformational capabilities, and to create an inclusive, innovative and integrated work environment. We are looking for a dynamic, self-motivated and technically competent individual who has an interest in data and technology – data architecture, data modeling, data integration etc. Specializing in the Data domain, you will work in a high-pace data engineering team that is delivering and supporting GIC data needs.
•Work closely with data analysts, data scientists and business end-users to implement and support data solutions using best-of-breed technology and methodology.
•Conduct requirement workshop with business users and analyze requirements holistically.
•Design robust and scalable solutions to meet business needs which is efficient that operational considerations into account
•Analyze, tackle and resolve day-to-day operational incidents and advisory to business users
•Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
•Play an active role in the project coordinating between internal resources and third parties/vendors for project execution.
•A good degree in Computer Science, Computer Engineering or equivalent
•Possess more than 4 years of relevant working experience in data modeling, data integration, preferably in an investment and banking environment.
•Experience working with enterprise databases using database technologies (PL/SQL, SQL, NoSQL) data integration products (e.g. Informatica)
•Experience in programming language in .Net or Java, PL/SQL, Python
•Exposure and knowledge in any of the following technologies is advantageous:
o Big Data
Hadoop Technologies: HDFS, Zookeeper, Yarn, Spark, Hive, Impala, Sqoop, Solr, ELK, Flume, Kafka
Hadoop Platforms: Cloudera, Hortonworks, Databricks
NoSQL Databases: MongoDB, Cassandra, AWS Redshift, Neo4J, Hbase
Cloud based Big Data Services: AWS EMR, Azure HDInsight
•Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
•Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas
•Strong communication/people skills required to interact with data analysts, business end-users and vendors to design and develop solutions
•Passion for data and technology
•CFA equivalent certifications would be an added advantage.
•Good at working with details and is meticulous for operations.