Data Engineer
7 days ago
We are seeking a skilled and motivated Data Engineer to join our team and help build scalable, secure, and efficient data pipelines and platforms. The ideal candidate will have 2 to 4 years of hands-on experience with modern data engineering tools and cloud platforms, particularly in Azure and AWS ecosystems.
Key Responsibilities
- Design, develop, and maintain data pipelines using PySpark and Python.
- Build and optimize data workflows in Azure Synapse Analytics and Azure Data Factory.
- Manage and organize data storage in Azure Data Lake Storage (ADLS) and AWS S3.
- Develop and maintain scalable data solutions using Databricks.
- Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Ensure data quality, integrity, and security across all data platforms.
- Monitor and troubleshoot data pipelines and workflows.
Required Technical Skills
- Programming Languages: Proficiency in Python and PySpark.
- Cloud Platforms:
- Azure Synapse Analytics
- Azure Data Factory
- Azure Data Lake Storage (ADLS)
- Databricks
- AWS S3
- Databases & Querying: Strong command of SQL for data manipulation and analysis.
- Version Control: Experience with Git or similar tools.
- CI/CD & Automation: Familiarity with automated deployment and testing of data pipelines.
Job Types: Full-time, Permanent
Pay: Up to ₹1,100,000.00 per year
Benefits:
- Health insurance
- Internet reimbursement
- Paid sick time
- Work from home
Experience:
- Azure: 2 years (Required)
- AWS: 2 years (Required)
Work Location: Remote
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