Absolutely. In simple terms, this is a Senior Data Engineer / ETL-heavy Data Engineering role, with Talend + SQL as the strongest requirements, and Python/cloud data platforms as supporting skills.

You are looking for someone who can:

Build and maintain data pipelines/ETL jobs.

Take data from different sources and move it into a cloud data warehouse/lakehouse.

Be very strong in SQL and data validation.

Have strong hands-on experience with Talend.

Use Python for data processing.

Work with platforms such as Snowflake, Azure Synapse, Hive, SQL Server, Redshift.

Understand data modelling, data warehousing and large-volume data.

Ideally know Databricks + Power BI/Tableau.

Be comfortable interacting with business/analytics teams.

The core combination is:

Talend + Advanced SQL + Python + ETL + Cloud Data Warehouse

Don't get overly attracted by candidates who only have modern tools like Spark/Databricks but lack robust Talend and SQL experience. For this JD, traditional ETL experience is important.

📌 Data Engineer- Talend ETL, SQL, Hive- Manufacturing Industry (Bengaluru)
🏢 Naukri Assist
📍 Bengaluru