Job opening

Data Engineer

Chargebee /  Amsterdam (NL)

Apply on site

Job description

Data Engineer works on all kinds of data projects

Develops and owns data pipelines/workflows.

Manages the integrity and quality of the data by defining and developing data quality metrics, processes and tools

Communicate with other teams on the data projects and deliver accurate data with complete ownership., * Solving the recurring data needs through automation and data visualization.
* Design and implement highly scalable data pipelines to handle streams, CDC events, and batch processing.
* Schedule, orchestrate and maintain data pipelines
* Perform data processing for structured and unstructured data
* Working on AWS Glue(Or similar ETL tool) to create pipelines to extract and load data to AWS Redshift(Or similar Cloud MPP data warehouse)
* Identifying/developing optimised data integrations for third-party tools used in Chargebee
* Staging and Transforming raw data for reporting and analysis
* Maintaining and enhancing the existing data pipelines/workflows.
* Data Quality Assurance

Must Have

SQL, Python, Big Data, Enterprise Data Warehousing, ETL

Good to Have

Cloud Data Tools, Redshift, Bigquery, AWS Glue, Airflow

Chargebee might be the opportunity you're looking for

* If you're interested in how subscription businesses can get more efficient.
* If you're hungry to give and receive feedback, fully understanding that challenging perspectives are the only way that you can grow.
* If you can bring empathy to problem solving.


* 2-5 years of experience in data engineering or data-focused software engineering
* Enterprise experience in working with data warehousing architecture and data modelling best practices
* Knowledge in business intelligence and Big Data Management
* Expert level knowledge in SQL and enterprise experience with Mysql, PostgreSQL, Redshift and advanced performance tuning techniques
* Proficiency in Python and at least one OO language (Java/scala preferred)
* Experience with other database platforms, NoSQL, R, data modelling for modern analytics visualization tools, such as Tableau and PowerBI, and cloud data warehouses, such as Amazon Redshift, Google Bigquery and SnowFlake, are all a plus.
* Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions
* Strong software engineering fundamentals; experience in an Agile/Scrum environment preferred
* Experience in data and system analysis/troubleshooting
* Deliver business value in the form of high-quality data and services in adherence with policies on security, performance, longevity and integration testing

Years of Experience looking for this position ?

2+ relevant years of experience with SaaS product application related Data Engineering domain

Full description & Apply on site