Posted:1 day ago|
Platform:
Work from Office
Full Time
Some careers shine brighter than others.
If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of Consultant Specialist
In this role will be responsible for the below:
Data Pipelines Integration and Management
Design and implement scalable data architectures to support the banks data needs.
Develop and maintain ETL (Extract, Transform, Load) processes.
Ensure the data infrastructure is reliable, scalable, and secure.
Oversee the integration of diverse data sources into a cohesive data platform.
Ensure data quality, data governance, and compliance with regulatory requirements.
Develop and enforce data security policies and procedures.
Monitor and optimize data pipeline performance.
Troubleshoot and resolve data-related issues promptly.
Implement monitoring and alerting systems for data processes
To be successful in this role, you should meet the following requirements:
5+ years of experience in data engineering or related field
Strong experience with database technologies (SQL, NoSQL), data warehousing solutions, and big data technologies (Hadoop, Spark)
Proficiency in programming languages such as Python, Java, or Scala.
Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
Deep understanding of ETL processes and data pipeline orchestration tools (Airflow, Apache NiFi).
Knowledge of data modeling, data warehousing concepts, and data integration techniques.
Strong problem-solving skills and ability to work under pressure.
Experience in the banking or financial services industry.
Familiarity with regulatory requirements related to data security and privacy in the banking sector.
Certifications in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc. ).
Experience with machine learning and data science frameworks.
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