Description
You will build and manage data pipelines and transformation processes using Python and Talend ETL.
Responsibilities
- Develop and maintain ETL processes using Talend.
- Perform data transformation activities using PySpark and Pandas libraries.
- Write and optimize complex SQL queries, stored procedures, views, functions, and triggers.
- Conduct relational model analysis and SQL performance tuning.
- Manage data within cloud environments across AWS, Azure, or GCP.
Required Skills
- 7+ years of hands-on experience with Python, SQL, and Talend ETL.
- Expert-level SQL database programming and performance tuning.
- Proficiency with PySpark and Pandas for data transformation.
- Experience with PostgreSQL, SQL Server, Oracle, Snowflake DB, and Redshift.
- Hands-on experience working in Cloud environments (AWS, Azure, or GCP).
- Strong understanding of Data Warehousing concepts.
- Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience.
- Fluent verbal and written English communication skills.
Preferred Skills
- Experience with BI tools such as Tableau or Power BI.