Development Engineering/Financial Crime Risk IT

Job description

Location : HYD

Designation : SSE

JD:

Responsibilities
• Help to deliver GCP development projects (including: design, development/coding, testing & deployment into Production) e.g.
• example 1: Build event driven pipeline: a message is published by an HSBC system > Pub/Sub > Dataflow > model prediction > save results in BigQuery.
• example 2: Build batch process: large file is generated in an HSBC Hadoop cluster > batch job transfers file to Google Cloud Storage > data is copied to BigQuery.
• example 3: Write a complex Dataflow/Beam job in Java or Python to merge customer & reference data > update the customer profile in Bigtable > re-calculate customer risk score.
• example 4: Build a secure analytics environment in GCP for Data Scientists (they want to use tools like... Python, R, Jupyter notebook, ML libraries, BigQuery).
• Collaborate with central teams (architecture, security, engineering, networks) who are responsible for delivering HSBC's baseline cloud architecture.
• Collaborate with other development teams that are also working to deliver use cases on GCP (share best practice).

Previous Experience
• Development role on a large IT project (requirements, design, development, testing, data, infrastructure).
• Proven track record of delivery.
• Development role on a large cloud implementation/migration project, preferably GCP (optional).
• Banking and/or Finanicecial Crime Risk experience (optional).

Technical Skills - must-have
• Some knowledge of cloud architecture & services (preferably GCP, but AWS is ok).
• Java.
• Linux, Bash/shell scripting.
• Data (e.g. big data, databases, data pipelines/transformation, metadata, entitlements).
• Databases (SQL, no-SQL).
• Big Data (Hadoop ecosystem, Hortonworks, HDFS, Hive).
• DevOps principles & tools (e.g. CICD, Bamboo/Jenkins, Github/Bitbucket, JIRA, Confluence).
• Agile development principles (e.g. Scrum, Kanban, MVP, Jira, Confluence).

Desired profile

Qualifications :

Technical Skills - nice-to-have
• Python.
• Analytics (Jupyter Notebook, R, Machine Learning, Deep Learning)
• GCP or AWS certified.
• Apache Beam and/or Google Dataflow
• Containers (Docker, Kubernetes).
• Experience of streaming data using frameworks/tools (Spark/Flint/Storm etc).
• Spark.
• Automation toolset (Terraform, Ansible or Saltstack).
• Encryption (CMEK, KMS, HSM)
• Security (IAM, roles, service accounts, entitlements).
• Network configuration, VPC, VPN.

Additional Requirements
• Good communication (verbal, written, email). Ability to explain complex ideas.
• Ability to work as part of an agile team (familiarity with agile methodology).
• Ability to work in a team that is located across multiple countries/regions.
• Willingness to adapt and learn new things.
• Takes ownership of tasks.
• GSOH.