Senior Data Engineer

5 days ago

Bengaluru, Karnataka, India JRD Systems Full time

We are seeking a Senior Data Engineer with deep expertise in AWS Cloud Development . This role is critical to both the development of new data products and the modernization of existing platforms.

The ideal candidate is a seasoned data engineer with hands-on experience designing, building, and optimizing large-scale data pipelines and architectures in both on-premises (e.g., Oracle) and cloud environments (especially AWS). This individual will also serve as a Cloud Development expert , mentoring and guiding other data engineers as they enhance their cloud skillsets.

Responsibilities

Data Engineering & Architecture

  • Design, build, and maintain scalable data pipelines and data products .
  • Develop and optimize ELT/ETL processes using a variety of tools and technologies.
  • Support and evolve data models that drive operational and analytical workloads.
  • Modernize legacy Oracle-based systems and migrate workloads to cloud-native platforms .

Cloud Development & DevOps (AWS-Focused)

  • Build, deploy, and manage cloud-native data solutions using AWS services (e.g., S3, Lambda, Glue, EMR, Redshift, Athena, Step Functions ).
  • Implement CI/CD pipelines and Infrastructure as Code (IaC) (e.g., Terraform, CloudFormation).
  • Monitor and optimize cloud infrastructure for performance, cost, and security .
  • Ensure scalability, resilience, and compliance of AWS-based data platforms.

Cross-functional Collaboration

  • Partner with product managers, analysts, and engineers to deliver end-to-end solutions.
  • Contribute to the data platform modernization roadmap and support new product delivery.

What We're Looking For

Required Qualifications

  • 7+ years of experience in data engineering or equivalent technical role.
  • 5+ years of hands-on AWS Cloud Development & DevOps experience.
  • Strong expertise in SQL, data modeling, and ETL/ELT pipelines .
  • Deep experience with Oracle (PL/SQL, performance tuning, data extraction) .
  • Proficiency in Python for data processing tasks.
  • Strong knowledge of cloud infrastructure (networking, security, cost optimization).
  • Experience with Infrastructure as Code (Terraform) .
  • Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitHub Actions).

Preferred (Nice to Have)

  • Experience with Google Cloud Platform (GCP) or Snowflake .
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with modern orchestration frameworks (e.g., Airflow, dbt).
  • Exposure to data cataloging, governance, and quality tools .

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