AWS Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global provider of computer software solutions, known for delivering innovative data-driven insights to a diverse international clientele. They foster a dynamic, collaborative environment that encourages technical excellence and professional growth. The company is committed to building scalable, high-performance architectures that solve complex business challenges.
About the role.
We are seeking experienced AWS Data Engineers to join a high-impact team focused on building scalable data pipelines and robust cloud-based architectures. You will play a pivotal role in designing, developing, and maintaining high-performance data solutions that drive critical business insights. This role offers the opportunity to work on large-scale data projects within a sophisticated cloud ecosystem.
What you will do.
- Design and implement end-to-end data engineering solutions within the AWS ecosystem.
- Develop and optimize complex ETL/ELT pipelines using Python and PySpark.
- Collaborate with cross-functional teams to architect data warehouses and analytical platforms.
- Ensure data integrity, security, and performance optimization across all cloud data environments.
- Mentor junior team members and provide technical leadership on data-centric projects.
- Manage cloud infrastructure and data workflows to support business intelligence initiatives.
What you bring.
- 4–10 years of professional experience in data engineering.
- Extensive hands-on experience with AWS services including S3, Glue, Lambda, Redshift, and EMR.
- Proven expertise in Snowflake architecture and data modeling.
- Strong proficiency in Python and PySpark for large-scale data processing.
- Advanced SQL skills for complex query optimization and data manipulation.
- Bachelor’s degree in Computer Science, Information Technology, or a related quantitative field.
- Familiarity with CI/CD pipelines, Infrastructure as Code (Terraform or CloudFormation), and orchestration tools like Apache Airflow is a plus.
- Knowledge of real-time data streaming technologies such as Kafka or Kinesis is highly desirable.
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