Responsible designing & developing apps and handling all aspects of the application development and support
Must know Programming skills like ETL using Python,

SQL

, Shell scripting, PySpark,
SQL Expertise in writing complex queries, performance tuning, query optimization.
Work with business users in guiding and obtaining Non-functional requirement as well as obtaining the relevant sign off for the performance test deliverables.
Develop our technical strategy and architecture using modern distributed application software, tools and techniques
Have a good understanding of financial market instruments

Align to Standard Chartered delivery processes of software delivery framework and keep high standard for change management practice.
People & Talent
Provide technical guidance and direction, as well as hands-on resource management for all software development activities
Coaching, mentoring, and developing our high performing engineers
Risk Management
Highlight emerging risks to planned delivery upfront to ensure sufficient measures can be taken
Inform all stakeholders appropriately only risk / issues / challenges
Establish good governance process in the team to ensure quality delivery.
Regulatory & Business Conduct
Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
Skills And Experience
Data Engineering
SQL
Unix Scripting
Devops
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field.
10+ years of experience in data engineering
Strong proficiency in Python, Python-spark, shell scripting and SQL, with hands-on experience in building large-scale ETL/ELT pipelines
Good to have exposure in the Big Data Ecosystem like Hive, Spark and HDFS
Good to have exposure with modern data stack components (Airflow, Iceberg).
Strong understanding of APIs, microservices, and DevOps/CI/CD concepts (Docker, Kubernetes, Terraform).
For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Senior Data Engineer : Big Data

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