Data Engineer - Sr. Consultant level - 11+ to 14 Yrs , Bigdata Developer , Kafka
Data Engineer - Sr. Consultant level - 11+ to 14 Yrs , Bigdata Developer , Kafka
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Job Description
Youll be a senior contributor in our Data Engineering team working across various projects to spot patterns in how we build our Snowflake Data Warehouse. Youll help us minimise our cloud costs drive best practices across all our Data Disciplines and scale and automate our data governance.
Enable VXBS (Visa Cross-Border Solutions) to Make Better Decisions Faster
At the core of this mission sits our data platform. Were great believers in powerful real-time analytics and empowerment of the wider business. We optimise for simplicity and re-usability all our data lives in one place and is made available via our data warehouse in Snowflake.
What youll be working on:
Working in a multi-disciplinary data engineering team you will:
Support the building of robust data models downstream of backend services (mostly in Snowflake) that support internal reporting financial and regulatory use cases.
Focus on optimisation of our Data Warehouse spotting opportunities to reduce complexity and cost.
Help define and manage best practices for our Data Warehouse. This may include payload design of source data logical data modelling implementation metadata and testing standards.
Set standards and ways of working with data across VXBS working collaboratively with others to make it happen.
Take established best practices and standards defined by the team and apply them within other areas of the business.
Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
Contribute to prioritisation of data governance issues.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications:
8 years of relevant work experience with a Bachelors Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD OR 11 years of relevant work experience.
You should Apply if
You have experience and a passion for Data Modelling ETL projects and Big Data as a developer or engineer
You have good experience in Python Java or similar languages
You have proven experience with AWS
SQL and data modelling is second nature to you
You are comfortable with general Data Warehousing concepts
You strive for improvement in your work and that of others proactively identifying issues and opportunities
You have experience building robust and reliable data sets requiring a high level of control
You have proven experience with stream technologies like Kafka Kinesis Pulsar etc
Preferred Qualifications:
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 3 or more years of experience with a PhD
Any experience working within a finance function or knowledge of accounting.
Experience working in a highly regulated environment (e.g. finance gaming food health care).
Knowledge of regulatory reporting and treasury operations in retail banking
Have previously used dbt Databricks or similar tooling
Experience working with IaC tools such as Terraform AWS CloudFormation or Ansible
Experience working with orchestration frameworks such as Airflow/Prefect
Design and implementation knowledge of stream processing frameworks like Flink Spark Streaming etc.
Used to AGILE ways of working (Kanban Scrum)
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
