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Senior Data Engineer
JRD SystemsBengaluru, Karnataka, India18 days ago
Job descriptionBuild, 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. 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. 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). 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 .
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)
Cross-functional Collaboration
What We're Looking For
Required Qualifications
Preferred (Nice to Have)
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Senior Data Engineer • Bengaluru, Karnataka, India
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