TECH & DATA MANAGEMENT ASSOCIATE ( 18-MONTH FAST TRACK)

BENEFITS:

• Outstanding salary starting at $1000 in the first month
• 18-month fast track career with various initiative strategic projects with over $300-million investment in DA/IT;
• Top-notch learning opportunities with world-wide learning partners (Eg: AWS, Franklin Covey, etc.)
• Opportunity to work directly and be mentored by global leading professionals who are senior leaders at Techcombank;
• Be the Key Talents at Techcombank under Key Talent Program with strong investment to accelerate your career and many other exceptional benefits;
• Opportunity for Reverse Mentoring – be the mentors for the heads/ senior leaders of Techcombank to share insights about gen Z.

TECH ASSOCIATE:

Rotate among all projects to understand your strengths before select your ideal areas to develop further

Software development

• IT Security
• IT Infrastructure operation and management
• QA/QC
• Enterprise Architecture
• Project Management

DATA ASSOCIATE

Rotate among all projects to understand your strengths before select your ideal areas to develop further 

• Analysis and Reporting
• Data Solutioning
• Data Architecture
• Data Integration
• Project Management

TECH ASSOCIATE:

• A Bachelor's degree in Computer Science, Information Technology, Software Engineering or relevant fields;
• Understanding of ANY OF programming languages (e.g. Java, .NET, Python); message standards (e.g. SOAP, JSON); & configuration and managing databases (e.g. MySQL, Mongo);
• Basic knowledge of one or multiple technical tools; open-source technologies; cloud services; Network Security, Application Security, Security Assessment and penetration testing; Audit & Compliance; & Security Operation Center;
• Basic awareness of DevSecOps and Agile's critical concepts;
• Proficient in spoken/ written English and passionate in IT.

DATA ASSOCIATE:

• A Bachelor's degree in Mathematics, IT, Computer Science, Statistics, Software Engineering or relevant fields;
• Understanding of ANY OF big data technologies (e.g. Cloud, Spark, Flink, Kafka, Arrow, Tableau), or Database technologies (e.g. SQL, NoSQL, Graph databases), or (BI) tools (e.g. Tableau, QlikView, Spark);
• Understanding of ANY OF programming languages (e.g. Python, R, Java, Kotlin, C, C++, etc.);
• Basic understanding of machine learning;
• Proficient in spoken/ written English and passionate in DA.