Data Engineer
Exp- 5-10 Yrs
Location- Bengaluru / Noida / Hyderabad
Job Summary:
We are looking for experienced Data Engineers with strong expertise in Azure Databricks and PySpark. The ideal candidate should have hands-on experience in building scalable data pipelines and working on cloud-based data platforms. Candidates with exposure to SAP HANA or SAP BW will be preferred.
Mandatory Skills:
Microsoft Azure
Azure Databricks
PySpark
Good to Have:
Roles and Responsibilities:
Design develop and maintain scalable data pipelines using Azure Databricks and PySpark.
Work on Azure data services for data ingestion transformation and storage.
Optimize and monitor data workflows for performance and reliability.
Collaborate with analytics and business teams to understand data requirements.
Implement best practices in data engineering and data governance.
Participate in client discussions and technical evaluations.
For senior/lead roles guide junior team members and support architectural decisions.
Skills to be Evaluated:
Azure Data Engineering concepts
Databricks architecture and optimization
PySpark development and performance tuning
Data Engineering and Analytics fundamentals
Data EngineerExp- 5-10 YrsLocation- Bengaluru / Noida / HyderabadJob Summary:We are looking for experienced Data Engineers with strong expertise in Azure Databricks and PySpark. The ideal candidate should have hands-on experience in building scalable data pipelines and working on cloud-based data pl...
Data Engineer
Exp- 5-10 Yrs
Location- Bengaluru / Noida / Hyderabad
Job Summary:
We are looking for experienced Data Engineers with strong expertise in Azure Databricks and PySpark. The ideal candidate should have hands-on experience in building scalable data pipelines and working on cloud-based data platforms. Candidates with exposure to SAP HANA or SAP BW will be preferred.
Mandatory Skills:
Microsoft Azure
Azure Databricks
PySpark
Good to Have:
Roles and Responsibilities:
Design develop and maintain scalable data pipelines using Azure Databricks and PySpark.
Work on Azure data services for data ingestion transformation and storage.
Optimize and monitor data workflows for performance and reliability.
Collaborate with analytics and business teams to understand data requirements.
Implement best practices in data engineering and data governance.
Participate in client discussions and technical evaluations.
For senior/lead roles guide junior team members and support architectural decisions.
Skills to be Evaluated:
Azure Data Engineering concepts
Databricks architecture and optimization
PySpark development and performance tuning
Data Engineering and Analytics fundamentals
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