Absolutely. In easy 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 robust 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.
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
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