Data Engineer AWS - 5+Years - Pan India

Discipline: Data Engineering
Job type: Permanent
Contact name: Rushali Uppal

Contact email: rushali.uppal@crescendogroup.in
Job ref: 78618
Published: 7 days ago
 

 

Data Engineer AWS - 5+Years - Pan India

 

This role sits within the EDP Data Platform (EDP) team supporting a major global insurance client. The successful candidate will work with diverse stakeholders to architect and build EDP application platforms that support client data teams with onboarding and provisioning data in cloud environments.

 

Your Future Employee -A Fortune-listed company specializing in analytics, automation, and consulting

 

Location – Pan India

 

Accountabilities & Responsibilities

  • Design, implement, and test Python-based enterprise applications following OOP and multi-tier architecture principles.
  • Develop and enhance microservices-based platforms for data onboarding and provisioning.
  • Build scalable solutions leveraging AWS technologies including AppSync, Lambda, Step Functions, Event Bridge, CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, IAM, and KMS.
  • Work with cloud-native data warehouses like AWS Redshift, Snowflake, or Azure Synapse Analytics.
  • Implement metadata solutions using AWS non-relational data services (e.g., ElastiCache, DynamoDB).
  • Collaborate within Agile teams to deliver client-ready solutions with minimal supervision.
  • Contribute to data engineering frameworks that support data marts, warehouses, and advanced analytics/AI-ML workloads.
  • Ensure high-quality deliverables by applying analytical problem-solving skills and maintaining strong client communication.

 

Knowledge, Skills & Experience

Essential Skills

  • 4+ years of enterprise application development experience.
  • Strong programming skills in Python (Java/Scala a plus).
  • Hands-on experience with AWS services (AppSync, Lambda, Step Functions, Glue, EMR, RDS, DynamoDB, S3).
  • Solid understanding of object-oriented programming, multi-threaded programming, and microservices design.
  • Experience with Spark and modern cloud-native data warehouses (Redshift, Snowflake, Synapse).
  • Strong analytical and problem-solving abilities with attention to detail.
  • Excellent verbal and written communication skills for client interaction.

Desirable Skills

  • AWS Solutions Architect or AWS Big Data Certification.
  • Experience in Life Insurance domain (preferred but not mandatory).
  • Familiarity with Agile delivery methodologies.
  • Ability to thrive in fast-paced, high-growth environments with evolving priorities.

 

Candidate Profile

  • Bachelor’s/Master’s degree in Computer Science, Engineering, or related analytics fields.
  • Proven ability to work independently and deliver client-ready solutions.
  • Strong interpersonal skills to manage cross-cultural client relationships.
  • A collaborative team player with strong organizational skills and willingness to adopt new technologies.

 

What We Offer

  • Work in a fast-paced, innovative environment alongside world-class analytics professionals.
  • Gain exposure to global clients and complex real-world business challenges.
  • Receive mentoring and professional development support through structured programs.
  • Learn and grow in both technical depth and business acumen, with limitless opportunities for career advancement.

 

Why Join Us?

At Crescendo Global, we believe in empowering leaders to create a meaningful impact. This role provides the opportunity to not only lead cutting-edge engineering but also shape the future of GenAI adoption in enterprise solutions. We foster a diverse, inclusive, and innovative environment that supports continuous learning and growth.

 

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