Senior Manager

Oversee data engineering solutions at an organizational level. Lead high-impact data initiatives. Ensure alignment of data practices with organizational goals. Provide executive-level strategic guidance.

Key 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.

Key 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.

Graduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.

Required Skills & Experience

• 10+ 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.