About the Role
We are seeking a highly skilled Data Engineer with at least 5 years of professional experience to join our growing team. The ideal candidate will be proficient in AWS cloud services and SQL queries, with a strong background in building and optimizing data pipelines, ensuring data integrity, and enabling analytics across the organisation.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Work extensively with AWS services (e.g., S3, Redshift, Glue, Lambda, EMR) to manage and process large datasets.
- Write and optimize complex SQL queries for data extraction, transformation, and reporting.
- Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver solutions.
- Ensure data quality, security, and compliance across all systems.
- Monitor and troubleshoot data workflows to ensure high availability and performance.
- Document processes, workflows, and best practices for data engineering.
Required Skills & Qualifications
- Bachelor’s/Master’s degree in Computer Science, Information Technology, or related field.
- Minimum 5 years of experience in data engineering or related roles.
- Strong proficiency in AWS cloud services for data storage, processing, and orchestration.
- Advanced knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Experience with ETL tools and frameworks.
- Familiarity with big data technologies (Spark, Hadoop) is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Preferred Skills (Nice to Have)
- Experience with Python for data processing.
- Knowledge of data modeling and warehouse design.
- Exposure to CI/CD pipelines and DevOps practices.
- Understanding of data governance and security best practice
Pay: ₹1,500,000.00 - ₹1,800,000.00 per year
Work Location: In person
