Job Title : Data Engineer.
Location : Gurgaon (On-site).
Experience : 4 Years.
Joining : Immediate.
About the Role :
We are looking for a skilled Data 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.
- 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.Immediate joiner preferred.Good to Have :
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.(ref : hirist.tech)