Job Description Data Engineer
We are seeking a highly skilled Data Engineer with extensive experience in Snowflake, Data Build Tool (dbt), Snaplogic, SQL Server, PostgreSQL, Azure Data Factory, and other ETL tools. The ideal candidate will have a strong ability to optimize SQL queries and a good working knowledge of Python. A positive attitude and excellent teamwork skills are essential.
Role & responsibilities
Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Snowflake, DBT, Snaplogic, and ETL tools.
SQL Optimization: Write and optimize complex SQL queries to ensure high performance and efficiency.
Data Integration: Integrate data from various sources, ensuring consistency, accuracy, and reliability.
Database Management: Manage and maintain SQL Server and PostgreSQL databases.
ETL Processes: Develop and manage ETL processes to support data warehousing and analytics.
Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
Documentation: Maintain comprehensive documentation of data models, data flows, and ETL processes.
Troubleshooting: Identify and resolve data-related issues and discrepancies.
Python Scripting: Utilize Python for data manipulation, automation, and integration tasks.
Preferred candidate profile
Please forward your updated profiles to the below mentioned Email Address:
di********s@pr**************g.com
Keyskills: Snowflake Azure Data Factory ADF Data Engineer ETL SQL
Prudent technologies & Consulting, Inc. is a full-service information technologies consulting firm with more than 18 years of specialisation in IT staffing, Data Analytics and Customer Application Development Solutions. Service range from IT Project Solutions to Offshore IT Solutions to IT...