Your Mission

This position is responsible for ETL and database SQL performance tuning , Data optimization, and Data Modelling for HMGICS applications. He/She should be passionate about learning and building the latest technologies of distributed big data platform.

What To Expect

• Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, data warehouses, and big data
• Define the data architecture framework, standards, and principles, including modelling, metadata, and security
• Collaborate and coordinate with multiple departments, stakeholders, partners, and external vendors
• Examine and identify data structural necessities by evaluating applications and programming
• Assess data implementation procedures to ensure their compliance with internal and external regulations
• Prepare accurate database design and architecture reports for management and executive teams
• Assist in Data Governance activities

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 2 years of relevant experience in data engineering
• Proficient in design, develop and maintaining scalable and reliable end-to-end ETL data pipelines
• Experience with any database SQL-based technologies (e.g. PostgreSQL/ MySQL/ Oracle/ Tibero)
• Knowledge in both SQL & NoSQL databases, including performance tuning and troubleshooting
• Experience with database architectures, database design, Application SQL tuning and optimization
• Good knowledge with distributed data platforms such as Hadoop, HDFS, Hive, Spark, PySpark is an added advantage
• Proficiency in Scripting languages( Python, Shell Script) for automation and monitoring