Senior data engineer

3 weeks ago

Bangalore, 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 & Dev Ops (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 (Ia C) (e.g., Terraform, Cloud Formation). 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 & Dev Ops 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 Dev Ops tooling (e.g., Jenkins, Git Hub 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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