Data engineer

4 weeks ago

Bangalore, India JRD Systems Full time

The Role: Sr Data Engineer (AWS Cloud, Python) 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 data 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, Ia C (e.g., Terraform or Cloud Formation), and monitor cloud infrastructure for performance and cost optimization. Ensure data platform security, scalability, and resilience in the AWS cloud. Cross-functional Collaboration Work closely with product managers, data analysts, software engineers, and other stakeholders to understand business needs and deliver end-to-end solutions. Support and evolve the roadmap for data platform modernization and 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 experience with AWS Cloud Development and Dev Ops. Strong expertise in SQL , data modeling , and ETL/ELT pipelines . Deep experience with Oracle (PL/SQL, performance tuning, data extraction). Proficiency in Python Py Spark 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), Snowflake Knowledge of containerization and orchestration tools. Experience with modern orchestration tools (e.g., Airflow, dbt). Exposure to data cataloging, governance, and quality tools.

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