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SalaryThis role will be responsible for designing, developing and delivering a modern and self-serve Data Platform. You will work closely with fellow engineers, Product Manager and other key stakeholders to migrate from legacy data tools and processes and create a platform that's robust, scales to meet our growing needs and a delight to use for hipages internal users. We are looking for someone who has a “Make It Happen” attitude and is comfortable working in a rapidly changing environment with ambiguous requirements.
Benefits:
Competitive salary, benefits and perks, plus equity via our Employee Share Program
Work from home with 50/50 hybrid working model
Cross functional collaboration with autonomous work driven by your own innovation
Leverage hands-on learning, coaching opportunities and workshops for continuous upskilling
Inhouse Talent Development team to support your personal career growth and plan for your promotion!
How you will add value:
Build the next generation Data Platform, working closely with various stakeholders including vendors
Write high quality software, deploy it and own its end-to-end lifecycle
Select, acquire and integrate structured and unstructured data from disparate sources and build pipelines that integrate the data in a performant fashion.
Identify and resolve production issues, handle production incidents, coordinate with impacted teams and improve the system in this process.
Contribute to discussions on system architecture; write and review technical design documents
Help our internal users onboard the new Platform and coach them to use it effectively
About you:
6+ years' experience in delivering solutions on Big Data technologies, Analytics and Business Intelligence platforms
Mastery in Python and SQL (preferred if you have experience across more languages e.g. .NET, TypeScript etc).
Demonstrated capability in distributed data technologies (both batch and streaming) e.g. Kafka/Spark and data lake or warehouse technologies e.g. Databricks/Snowflake.
Experience working with a cloud platform (AWS is preferred). Familiarity with Devops toolchain e.g. Github Actions, Terraform, Kubernetes ecosystem tools like Helm, ArgoCD etc.
Great if you have
Experience with cross-cutting concerns in Data Platforms eg lineage, orchestration, data quality, security etc and related tools eg Airflow/Dagster, Datahub/Apache Atlas, Soda/Great Expectations, Immuta etc.
Strong understanding of modern software delivery practices and processes eg test automation, CI/CD, incremental and iterative delivery
