
Senior Data Engineer
2 days ago
Senior Data Engineer, Azure Databricks
Job Summary: We are seeking a highly skilled Senior Data Engineer with 3-5 years of professional experience, specializing in the Azure Databricks platform. The ideal candidate will have a strong track record of designing, building, and optimizing scalable data pipelines. You will play a crucial role in enhancing our data infrastructure to support critical business intelligence and advanced analytics.
Key Responsibilities:
- Design, develop, and maintain robust data pipelines on Azure Databricks using PySpark.
- Implement and manage ETL/ELT processes for both batch and streaming data.
- Work with data scientists and analysts to understand their data requirements and deliver reliable data solutions.
- Optimize Databricks clusters and jobs for performance and cost efficiency.
- Ensure data quality, integrity, and security across all data pipelines.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3-5 years of demonstrable experience as a Data Engineer with a strong focus on Azure Databricks.
- Proficient in PySpark and the Spark ecosystem.
- Experience with Delta Lake for building data lakes and managing ACID transactions is a must.
- Strong command of SQL and solid understanding of data warehousing concepts.
- Hands-on experience with other Azure data services, including Azure Data Lake Storage (ADLS) and Azure Synapse Analytics.
- Excellent problem-solving and communication skills.
Job Types: Full-time, Permanent
Pay: ₹1,000, ₹1,200,000.00 per year
Benefits:
- Paid sick time
- Paid time off
Work Location: In person
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