- Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Informatica PowerCenter or similar technologies.
- Collaborate with cross-functional teams to gather requirements for data warehousing solutions and implement scalable architectures on AWS/GCP/Azure Cloud platforms.
- Develop complex SQL queries to optimize database performance and troubleshoot issues in production environments.
- Lead junior engineers in design reviews, code reviews, and mentorship.
Job Requirements :
- 8-12 years of experience in Data Engineering with expertise in ETL development using PySpark/Pyspark SQL.
- Robust understanding of big data processing technologies like Hadoop/Hive/Impala.
- Proficiency in Python programming language with knowledge of AWS/GCP/Azure cloud platforms.
- Experience working with BI tools like Power BI or Tableau for reporting purposes.
📌 Senior Data Engineer (Chandigarh)
🏢 Naukri e-Hire
📍 Chandigarh
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