Data Engineer - Python/SQL
- Compensation
- Not disclosed
- Location
- Noida; Mumbai; Pune; Bangalore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Full description
Job Description - Data Engineer : Job Title : Data Engineer
Employment Type : Full-Time
Experience : 7+ Years
Work Mode : Hybrid
Locations : Pune | Bangalore | Mumbai | Noida
Shift Timing : 2 : 00 PM 11 : 00 PM IST
Job Summary :
We are looking for a highly skilled Data Engineer with 7+ years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate should have strong expertise in Python, SQL, PySpark, and cloud platforms such as AWS or Azure. The candidate will be responsible for building scalable data pipelines, optimizing data processing frameworks, and delivering high-quality data solutions to support business intelligence and analytics initiatives. This role requires excellent analytical skills, stakeholder management, and experience working with global cross-functional teams.
Key Responsibilities :
- Design, develop, and maintain scalable and reliable data pipelines for structured and unstructured data.
- Build enterprise-grade ETL/ELT solutions for data ingestion, transformation, and integration.
- Develop cloud-native data solutions using AWS or Microsoft Azure.
- Create high-performance data processing applications using Python and PySpark.
- Write complex and optimized SQL queries for data extraction, transformation, and reporting.
- Develop scalable data models for business intelligence and analytics.
- Implement and maintain DataOps, DevOps, and DevSecOps best practices across the data engineering lifecycle.
- Collaborate with business stakeholders to gather, analyze, and understand data requirements.
- Ensure data quality, integrity, governance, and security across all data platforms.
- Monitor, troubleshoot, and optimize existing data pipelines for performance and scalability.
- Support cloud migration and modernization initiatives.
- Work closely with BI Developers, Data Analysts, Data Scientists, and business users to deliver end-to-end data solutions.
- Participate in code reviews, technical discussions, and architecture design sessions.
- Prepare technical documentation and support production deployments.
- Collaborate with cross-functional teams across multiple regions and time zones.