
Scalable Data Solutions Architect
2 days ago
Data Engineer Role Description
">The Data Engineer will be responsible for designing, developing, and managing data pipelines, as well as ensuring data quality and availability.
">Main Responsibilities
">- ">
- Build data pipelines that meet scalability and reliability requirements.">
- Clean, transform, and validate data from multiple sources.">
- Work with large datasets to ensure high data quality and availability.">
- Develop and maintain ETL workflows using industry-standard tools and scripting languages.">
- Automate data extraction, transformation, and loading processes.">
- Optimize data workflow performance for speed and efficiency.">
- Develop, maintain, and optimize complex SQL queries, stored procedures, and views.">
- Implement relational database schemas and indexing strategies.">
- Evaluate and improve data integrity, security, and compliance within SQL Server environments.">
- Collaborate with MongoDB for storing and querying unstructured or semi-structured data.">
- Design document-based data models and manage performance tuning for MongoDB.">
- Establish and maintain data backup and replication strategies.">
- Analyze complex data requirements and develop efficient technical solutions.">
- Address data-related issues, perform root-cause analysis, and resolve problems efficiently.">
- Engage with data analysts, software engineers, and stakeholders to understand project requirements.">
- Participate in code reviews, team meetings, and cross-functional discussions.">
- Assume ownership of assigned tasks and demonstrate attention to detail.">
- Demonstrate a proactive approach to delivering solutions and contributing to team goals.">
- Offer recommendations for process improvements based on industry best practices.">
About the Ideal Candidate
">You will have a Bachelor's degree in Computer Science, Information Systems, or a related field, and 2–3 years of experience in data engineering or database development roles.
">Requirements
">- ">
- Bachelor's degree in Computer Science, Information Systems, or a related field.">
- 2–3 years of experience in data engineering or database development roles.">
- Proficiency in SQL Server, including T-SQL and indexing techniques.">
- Knowledge of Python or similar scripting languages.">
- Understanding of data modeling, normalization, and data warehousing concepts.">
- Strong analytical skills and problem-solving abilities.">
- Effective communication and teamwork skills.">
Seniority Level and Job Type
">This is an entry-level full-time position.
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