Hiring: Senior Data Engineer – Azure and Databricks
Client: LTM
Experience: 7+ Years
Location: Bangalore – Client Office
Work Mode: Onsite
Shift: 1:30 PM – 11:00 PM IST
Key Skills Required:
1.Apache Spark and Databricks
2.SQL and Python ETL/ELT Pipeline Development
3.Azure Data Factory (ADF)Azure Synapse Analytics and ADLS
4.Data Warehousing and Data Modelling
Batch and Streaming Data Processing
Data Quality, Governance and Performance Optimization
Role Overview:
We are looking for an experienced Senior Data Engineer to build and optimize scalable data pipelines and cloud-based data platforms using Azure, Databricks, Spark, SQL, and Python.
Preferred Qualifications
1.Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
2.Experience with CI/CD, DevOps, and cloud-based data platforms.
3.Azure Data Engineer Associate certification. Solid analytical, problem-solving, and stakeholder-management skills.
Mandatory Skills :
Data Engineering | Apache Spark | Databricks | SQL | Python | ETL/ELT | Azure Data Factory | Azure Synapse Analytics | ADLS | Data Modelling | Batch amp; Streaming
1
Work Location: In person
📌 Senior Data Engineer – Azure And Databricks Bengaluru
🏢 Pratiksha Chaudhary Pvt.Ltd
📍 Bengaluru
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