Senior Data Engineer

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We are seeking a Data Engineering & DevOps Specialist to design and deliver modern, scalable, and secure data solutions on AWS. This role requires a strong blend of data engineering expertise, cloud architecture skills, and DevOps best practices to build high-performance, automated, and reliable data environments.

If you are passionate about building robust data systems, automating workflows, and driving innovation in cloud data solutions, this is the perfect opportunity for you.

About the Role

We are seeking a Data Engineering & DevOps Specialist to design and deliver modern, scalable, and secure data solutions on AWS. This role requires a strong blend of data engineering expertise, cloud architecture skills, and DevOps best practices to build high-performance, automated, and reliable data environments.

If you are passionate about building robust data systems, automating workflows, and driving innovation in cloud data solutions, this is the perfect opportunity for you.

Key Responsibilities

Design, Develop & Deploy Data Solutions

• Architect and maintain scalable, high-performing data systems on AWS across the full data lifecycle.

Database Migration & Management

• Lead end-to-end database migration projects from on-premises or legacy systems to AWS-managed services (RDS, Aurora, DynamoDB) with minimal downtime and data integrity assurance.

ETL Workflow Engineering

• Build, automate, and optimize ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline).

Data Pipeline Automation & Orchestration

• Implement automated workflows with tools like Apache Airflow, Prefect, and AWS Step Functions to ensure reliability and scalability.

DevOps for Data Engineering

• Apply DevOps principles to data projects: CI/CD for pipelines, Infrastructure as Code (Terraform/CloudFormation), monitoring, and automated testing.

Cloud Infrastructure Architecture

• Design and manage secure, cost-effective AWS environments with an emphasis on compliance, performance, and cost optimization.

Data Governance & Quality

• Implement governance frameworks, cataloging, lineage, and quality monitoring to meet regulatory and privacy standards.

Client Collaboration

• Partner with clients to understand requirements and deliver customized, impactful data solutions.

Continuous Learning & Innovation

• Stay updated on data engineering, DevOps, and AWS advancements to continuously improve solution quality.

What We're Looking For

Data Engineering Expertise:

• Proven experience designing and automating ETL/ELT pipelines on AWS (Glue, Lambda, Step Functions).
• Hands-on experience in database migration, schema conversion, and performance tuning.

DevOps Practices:

• CI/CD for data pipelines, containerization (Docker), Infrastructure as Code (Terraform, CloudFormation).

Cloud & Security:

• Ability to build secure, scalable, cost-effective AWS architectures following best practices.

Data Governance & Quality:

• Familiarity with data cataloging, lineage, and quality frameworks.

Client-Facing Skills:

• Strong communication skills with experience in requirement gathering and delivering client-centric solutions.

Preferred Qualifications

• Experience with Apache Airflow or Prefect for orchestration.
• AWS certifications (e.g., Solutions Architect, Data Analytics Specialty).
• Knowledge of relational & NoSQL databases (RDS, Aurora, DynamoDB, Redshift, OpenSearch).

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesSoftware Development

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