Senior Data Engineer

PureSoftware Pvt Ltd

7 - 10 years

25 - 30 Lacs

noida

Posted:4 hours ago| Platform:

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Skills Required

continuous integration scala glue amazon redshift ci/cd sql plsql data extraction data modeling aws cloud devops jenkins etl cd python github oracle performance tuning data processing cloud development elt data engineering cloud infrastructure cost optimization terraform aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

7+ years of experience in data engineering or equivalent technical role.
5+ years of hands-on experience with AWS Cloud Development and DevOps.
Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
Deep experience with Oracle (PL/SQL, performance tuning, data extraction).
Proficiency in Python and/or Scala 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).

Roles and 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 & 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, IaC (e.g., Terraform or CloudFormation), and monitor cloud infrastructure for performance and cost optimization.
- Ensure data platform security, scalability, and resilience in the AWS cloud.
Technical Leadership & Mentoring
- Act as a subject matter expert on cloud-based data development and DevOps best practices.
- Mentor data engineers on AWS architecture, infrastructure as code, and cloud-first design patterns.
- Participate in code and architecture reviews, enforcing best practices and high-quality standards.
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.

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