Note: The job is a remote job and is open to candidates in USA. Fracto Solutions is seeking a Data Engineer to build and maintain scalable data pipelines that support analytics and reporting. The role involves developing SQL queries, managing data warehouses and lakes, ensuring data quality, supporting cloud-based solutions, and collaborating with cross-functional data and product teams.
Responsibilities
- Build and maintain data pipelines (ETL/ELT) to ingest data from multiple sources
- Develop and optimize SQL queries for analytics and reporting use cases
- Assist in managing and scaling data warehouses and data lakes
- Perform data validation, cleansing, and quality monitoring
- Collaborate with Data Analysts, Data Scientists, and Product teams
- Support cloud-based data solutions on AWS, GCP, or Azure
- Document data models, pipelines, and technical workflows
- Troubleshoot and resolve pipeline failures or data discrepancies
- Follow best practices related to data security, governance, and compliance
Skills
- Master's degree (required) in Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related field
- Strong proficiency in SQL (joins, window functions, aggregations)
- Working knowledge of Python for data processing and automation
- Understanding of data modeling, ETL concepts, and database design
- Familiarity with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle
- Exposure to at least one cloud platform (AWS, GCP, or Azure)
- Knowledge of Git or other version control systems
- Strong analytical thinking and problem-solving skills
- Excellent written and verbal communication skills
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