Highly Skilled Data Engineer for Snowflake and ETL Projects
3 days ago
About the Job:
We are seeking a highly skilled Data Engineer to join our team at algoleap in Hyderabad.
Estimated Salary: ₹1,200,000 - ₹1,800,000 per annum
Job Description – Data Engineer:
The ideal candidate will have extensive experience in designing, developing, and maintaining scalable data pipelines using Snowflake, dbt, Snaplogic, SQL Server, PostgreSQL, and other ETL tools.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain scalable data pipelines.
- SQL Optimization: Write and optimize complex SQL queries.
- Data Integration: Integrate data from various sources.
- Database Management: Manage and maintain SQL Server and PostgreSQL databases.
- ETL Processes: Develop and manage ETL processes.
- Collaboration: Work closely with data analysts, data scientists, and business stakeholders.
- Documentation: Maintain comprehensive documentation of data models, data flows, and ETL processes.
- Troubleshooting: Identify and resolve data-related issues.
- Python Scripting: Utilize Python for data manipulation, automation, and integration tasks.
Requirements:
To be successful in this role, you will need:
- Minimum 8 years of experience in data engineering.
- Proficiency in Snowflake, dbt, Snaplogic, SQL Server, PostgreSQL, and Azure Data Factory.
- Strong SQL skills with the ability to write and optimize complex queries.
- Knowledge of Python for data manipulation and automation.
- Knowledge of data governance frameworks and best practices.
Bonus Points:
Relevant certifications (e.g., Snowflake, Azure) are a plus.
About Us:
algoleap is a company that values innovation and transformation. We are looking for talented individuals who share our passion for engineering and technology.
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