Data Platform Engineer with Expertise in Modern Data Processing
3 days ago
We are seeking a highly skilled and motivated Data Platform Engineer to join our team at GSCF. This is an excellent opportunity for you to work on creating, maintaining, and continuously improving our company's data platform.
Job DescriptionIn this role, you will be responsible for designing and implementing complex data models, developing robust ETL/ELT pipelines, and ensuring high performance and scalability of our data warehousing solutions.
- Create, maintain, and continuously improve our data platform to meet the needs of our business stakeholders.
- Develop and optimize data warehousing solutions for high performance and scalability.
- Design and implement simple and effective self-service solutions to democratize data.
- Work closely with data analysts and business stakeholders to understand data requirements and deliver solutions that meet their needs.
- Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and store datasets from various sources.
To succeed in this role, you will need:
- Strong coding skills in SQL and Python.
- Strong experience with modern data processing tools (e.g., dbt, Kafka).
- Experience with pipeline orchestration solutions like Airflow and Dagster.
- Experience with a public cloud provider (e.g., AWS, Azure).
- Proven experience with cloud Data Warehousing solutions such as Snowflake, Databricks, and Redshift.
- Experience managing and optimizing classic RDBMS systems like MySQL, PostgreSQL, or SQL Server.
- Solid data modeling skills, with experience designing and optimizing data models for various use cases.
We offer a competitive salary range of $120,000 - $180,000 per year, depending on your level of experience, as well as:
- A clearly defined and challenging role where you will play a key part in financial planning.
- The opportunity to join a scaled and profitable start-up.
- Ambitious and fun group of colleagues.
- International exposure and experience.
- Competitive benefits package.
- Hybrid-working model.
- Opportunities for on-the-job training and career development.
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