Responsibilities
- Support the development and maintenance of data pipelines (ingestion, transformation, and loading).
- Collaborate in the implementation of data models for DTC use cases (sales, customers, operations).
- Provide support for data cleansing, validation, and data quality processes.
- Work closely with Data Science, Analytics, and Product teams to enable new data-driven functionalities.
- Document data processes, workflows, and dependencies.
- Monitor data pipelines and support the resolution of operational incidents.
Requirements
1–2 years of experience in Junior Data Engineer or technical Data Analyst roles.Strong knowledge of SQL.Programming experience in Python (pandas, data handling).Experience with ETL / ELT processes and data pipeline concepts.Knowledge of Azure environments.Experience with relational databases and basic data warehousing concepts.Ability to communicate in English within technical environments.Exposure to orchestration or processing tools such as Airflow, Databricks, or Spark.Nice to Have
Introductory knowledge of analytical models or data science concepts.Previous experience in DTC, e-commerce, or retail projects.Role Purpose
This role is responsible for The GCDR application (hosted on Hadoop platform) is primarily concerned with entity resolution (matching internal and external party data together to form single view of the customer).GCDR covers all four lines of business across 57+ markets. It also supports other services such as UI, reporting, network generation, APIs etc.The entity resolution and network generation services use Quantexa software, however many other elements are HSBC build.
Main Activities
Develop, program, and maintain applications, creating new features, enhancing existing ones, etcWork with different aspects of Apache Spark ecosystem, including ETL pipelines, data transformations and optimisationBecome familiar with the multiple applications and use cases that are supported on this platformAssist in the root cause analysis of production issuesQualifications Required :Strong communication skills, with the ability to convey technical detail in a non technical languageBackground in hands-on technical development, with at least three years of industry experience in a data engineering role or engineering equivalentProficiency in developing large scale data processing applications using Apache Spark with Scala including ETL pipelines, data transformations and optimization techniquesExpertise building and deploying production level data processing batch systems maintained by application support teams.Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker)Experience working in an Agile environmentA strong technical communication ability with demonstrable experience of working in rapidly changing client environments.Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Knows the difference between different test types (unit test, integration test) and can cite specific examples of what they have written themselves.Experience in managed services AWS EKS, Azure EKSExperience in AngularEnglish level – Advanced English proficiency C1.Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.
At HSBC we offer our colleagues a greater number of leave days so that they can fully enjoy their wedding, take care of the new member of the family, or grieve the loss of a family member. Our paid leave package is at the forefront in Mexico, now you have one more reason to be HSBC and proudly live a culture of well-being, balance, and care.
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.
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