We are seeking an experienced Senior Data Engineer with a strong background in designing, building, and optimizing scalable data pipelines in AWS. You will play a critical role in shaping our data architecture, enabling data-driven decision-making, and supporting advanced analytics across the organization.

Roles and Responsibilities :

- Design, build, and maintain robust, scalable data pipelines using AWS services.

- Develop and optimize ETL/ELT processes to ingest, transform, and load large datasets from multiple sources.

- Work with structured and unstructured data, ensuring high data quality and integrity.

- Implement and manage data lakes and data warehouses using AWS technologies.

- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.

- Monitor, troubleshoot, and optimize data workflows and queries for performance and cost efficiency.

- Implement infrastructure as code (IaC) practices using Terraform.

- Integrate CI/CD pipelines and DevOps practices using Azure DevOps.
- Ensure data security, governance, and compliance best practices are followed.

- Document data architecture, processes, and standards.

Must Have Skills :

- 7+ years of experience in Data Engineering or related roles with a least 5+ of these building solutions in AWS.

Hands on expertise with key AWS services :

- S3, Lambda, Glue, Redshift, Athena, Step Functions, EventBridge, SQS, SNS, IAM, Cloudwatch, VPC

- Solid understanding of data warehousing and data lake architectures
- Expertise in the design and development of data marts, including dimensional modeling (star/snowflake schemas) and building optimized, business focused data models for analytics and reporting

- Strong expertise with SQL, Python and Spark.

- Experience with creating of AWS resources using Infrastructure as Code (IaC), preferably through Terraform.

- Familiarity with DevOps practices and tools, such as Azure DevOps.

- Experience with version control systems (e.g., Git).

- Strong problem-solving skills and attention to detail.

- One or more AWS certifications (e.g., AWS Solutions Architect, Certified Data Engineer, DevOps etc).