- Design, develop, and optimize data pipelines using Snowflake and cloud-native services.
- Develop ETL/ELT workflows using Python, PySpark, and AWS Glue.
- Write complex and high-performance SQL queries for data transformation and analytics.
- Integrate data from multiple sources into Snowflake data warehouse.
- Ensure data quality, reliability, and performance across pipelines.
- Collaborate with cross-functional teams including analytics, business, and DevOps.
- Perform performance tuning, cost optimization, and troubleshooting.
- Follow best practices for data security, governance, and documentation.
- 8+ years of overall experience in Data Engineering / Data Warehousing.
- Strong hands-on expertise in Snowflake (schema design, performance tuning, optimization).
- Proficiency in Python and PySpark for data processing.
- Solid experience with AWS Glue and AWS-based data services.
- Advanced knowledge of SQL (complex joins, window functions, query optimization).
- Experience working with large-scale data sets in cloud environments.
- Strong problem-solving and communication skills.
- Experience with orchestration tools (Airflow, Step Functions, etc.).
- Knowledge of CI/CD pipelines for data workflows.
- Exposure to data governance and security best practices.
- 100% remote opportunity
- Work on modern cloud and data platforms
- Fast-paced environment with immediate impact
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Data Engineer - India - IntraEdge
Description
Job Title: Senior Data Engineer – Snowflake
Experience: 8+ Years
Location: Remote
Joining: Immediate / Short Notice Preferred
Job Description:
We are looking for a highly skilled Senior Data Engineer with strong hands-on experience in Snowflake, Python, PySpark, AWS Glue, and SQL to join our team for a remote engagement. The ideal candidate will have extensive experience in building, optimizing, and maintaining scalable data pipelines and cloud-based data solutions.
Key Responsibilities:
Required Skills:
Good to Have:
Why Join Us:
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