Strong Middle Data Engineer with Python at Intellias
Здається, ви трохи запізнились
Скоріше за все, ця вакансія закрита, бо вже зробила чиїсь понеділки щасливими.
Але не засмучуйтесь — у нас є що вам запропонувати!
Подивіться інші відкриті можливості на сайті.
Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future!
What project we have for you
Our client is a leading retirement product planning company in the US. They have performed a lift and shift migration of SQL Server 2008 into Azure SQL Database (MI) and have designed a new architecture based on cloud services.
Our project will help them validate and implement the new architecture based on cloud services.
What you will do
- Collaborate with business stakeholders and technical teams to understand and analyze data requirements.
- Support the design and implementation of data models and database structures that meet business needs.
- Profile, refactor, and optimize performance in database systems.
- Implement ETL processes to extract, transform, and load data from various source systems into the data warehouse.
- Ensure data integrity, consistency, and accuracy through data quality assurance measures.
- Review and support team members, providing guidance and mentorship.
What you need for this
Required skills:
- 3+ years of hands-on experience in data engineering with Python and SQL.
- 2+ years of experience with Azure, DWH services (Databricks), cloud storage (Azure Storage).
- Strong experience with ETL/ELT/orchestration tools (e.g., Airflow, ADF, Glue, Nifi).
- Contribute to the design and implementation of data warehouse and data lakes.
- Good knowledge of code versioning (git) and building CI/CD for data projects.
- Exposure requirement gathering and documentation.
Will be a plus:
- Experience with NoSQL.
- Experience with stream processing (e.g., Apache Kafka, Apache Flink, Spark Structured Streaming).
What it’s like to work at Intellias
Possibility to work with US based client and contribute to data infrastructure modernization.
At Intellias, we are committed to being an equal opportunity employer, fostering equity, diversity, and inclusion. We welcome and celebrate the differences of all qualified applicants. Join Intellias for a career where your unique perspectives are not only valued but crucial to our success.
