TL;DR
Senior Data Engineer (GCP): Overseeing technological choices and implementation of data pipelines and warehousing philosophy with an accent on automating data value chain processes and designing simple, maintainable data architectures. Focus on building reliable data pipelines, enforcing data governance, and partnering with data scientists and engineers to bring concepts to reality.
Location: Onsite in Hyderabad, India
Company
hirify.global is a leading technology platform that provides innovative enterprise solutions and data insights for life and annuities growth, simplifying insurance product administration.
What you will do
- Oversee technological choices and implement data pipelines and warehousing strategies.
- Lead and act as SME on cross-organizational projects to automate data value chain processes.
- Design simple, maintainable data architecture for efficient data utilization.
- Mentor data team members in architecture and coding techniques.
- Design and ensure reliability of data pipelines using ETL, event-driven, and streaming software.
- Partner with data scientists and engineers to bring data concepts to reality.
Requirements
- Extensive experience with data engineering techniques, Python, and SQL.
- Familiarity and working knowledge of Airflow and dbt.
- Expertise in data engineering tooling such as Jira, Git, Buildkite, Terraform, Airflow, dbt, and containers.
- Experience with GCP suite, Kubernetes, and Cloud Functions.
- Understanding of standard ETL patterns, modern data warehousing (data mesh or data vaulting), and data quality practices.
Culture & Benefits
- Collaborate with smart, creative professionals dedicated to delivering cutting-edge technologies.
- Focus on innovation, customer focus, and experimentation mindsets.
- Culture of learning and teaching, with a passion for continuous improvement.
- Committed to a diverse workforce as an Equal Opportunity employer.
- Continuous adoption of new tools and technologies as the company grows.
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