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Salary
≈ $16k – $38k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match
Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.

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.

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.

Responsibilities

  • 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.

Requirements

  • 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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