Data Engineer

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