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Unlock Scalable Data Solutions
3 weeks ago
Job Title: Data Solutions Engineer
We are seeking a skilled Data Solutions Engineer with strong expertise in Python, AWS Cloud, and Redshift to design, build, and maintain scalable data pipelines and solutions.
The ideal candidate will have hands-on experience with large-scale data systems, cloud platforms, and database technologies, and will be able to collaborate with cross-functional teams to enable data-driven decision-making.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes using Python and AWS services.
- Work with Amazon Redshift and other AWS cloud-native data solutions for data storage, processing, and analytics.
- Evaluate and ensure data accuracy, consistency, and availability across systems.
- Collaborate with data analysts, data scientists, and business teams to provide reliable data solutions.
- Optimize data workflows for performance, cost, and scalability.
- Monitor and troubleshoot production data pipelines to ensure high availability and reliability.
- Implement best practices in data engineering, including security, compliance, and performance tuning.
Required Skills & Experience:
- 4 years of experience as a Data Engineer or in a similar role.
- Strong proficiency in Python for data engineering tasks.
- Hands-on experience with AWS Cloud services (S3, Lambda, Glue, Redshift, EMR, etc).
- Strong knowledge of Amazon Redshift (data modeling, performance tuning, query optimization).
- Experience in ETL pipeline design and development.
- Strong understanding of SQL and relational databases.
- Good problem-solving skills and the ability to work in a fast-paced environment.
Desirable Skills:
- Experience with other cloud-based data warehouses (Snowflake, Big Query).
- Exposure to data orchestration tools like Airflow/Luigi.
- Knowledge of CI/CD practices for data engineering.
