ETL Developer

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Position Description: Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks:

• Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data
• Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting
• Develop data reliability, efficiency, and qualify checks and processes
• Prepare data for data modeling
• Monitor and optimize data architecture and data processing systems
• Collaboration with multiple teams to understand requirements and objectives
• Administer testing and troubleshooting related to performance, reliability, and scalability
• Create and update documentation
  
  

Role and Responsibilities:

• Design and implement robust, scalable data models to support the application, analytics and business intelligence initiatives.
• Optimize data warehousing solutions and manage data migrations in the AWS ecosystem, utilizing Amazon Redshift, RDS, and DocumentDB services.
• Develop and maintain scalable ETL pipelines using AWS Glue and other AWS services to enhance data collection, integration, and aggregation.
• Ensure data integrity and timeliness in the data pipeline, troubleshooting any issues that arise during data processing.
• Integrate data from various sources using AWS technologies, ensuring seamless data flow across
• Collaborate with stakeholders to define data ingestion requirements and implement solutions to meet business needs.
• Monitor, tune, and manage database performance to ensure efficient data loads and
• Implement best practices for data management within AWS to optimize storage and computing
• Ensure all data practices comply with regulatory requirements and department
• Implement and maintain security measures to protect data within AWS
• Lead and mentor junior data engineers and team members on AWS best practices and technical
• Collaborate with UI/API team, business analysts, and other stakeholders to support data-driven decision-making.
• Explore and adopt new technologies within the AWS cloud to enhance the capabilities of the data
• Continuously improve existing systems by analyzing business needs and technology
  
  

Education: This position requires a bachelor s or master s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor s degree.

General Experience: The proposed candidate must have a minimum of three (3) years of experience as a data engineer.

Specialized Experience: The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.

• Minimum 5 years ETL coding experience
• Proficiency in programming languages such as Python and SQL for data processing and automation
• Experience with distributed computing frameworks like Apache Spark or similar technologies
• Experience with AWS data environment, primarily Glue, S3, DocumentDB, Redshift, RDS, Athena, etc.
• Experience with data warehouses/RDBMS like Redshift and NoSQL data stores such as DocumentDB, DynamoDB, OpenSearch, etc
• Experience in building data lakes using AWS Lake Formation
• Experience with workflow orchestration and scheduling tools like AWS Step Functions, AWS MWAA, etc..
• Strong understanding of relational databases (including tables, views, indexes, table spaces)
• Experience with source control tools such as GitHub and related CI/CD processes
• Ability to analyze a company s data needs
• Strong problem-solving skills
• Experience with the SDLC and Agile methodologies
  
  

Navitas Business Consulting Inc., is an Equal Opportunity Employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.