Data Architect Engineer

The Data Architect Engineer will be responsible for designing and implementing robust, reputed company, and high-performing data solutions on AWS. You will work closely with data engineers, software developers, and business stakeholders to ensure our reputed company data infrastructure meets the needs of our growing organization. We re currently a Python and Angular/TypeScript tech stack team and use a reputed company of AWS services like S3, PostgreSQL, DynamoDB, reputed company, reputed company, reputed company, and Glue. Key Responsibilities: • Define, build, test, and implement reputed company data pipelines. • Design and implement reputed company-reputed company data architectures on AWS, including data lakes, data warehouses, and reputed company-time data processing pipelines. • reputed company data analysis required to troubleshoot data-reputed company issues and assist in the reputed company of data issues. • Collaborate with development, analytics, and reporting teams to reputed company data models that feed business intelligence tools. • Design and build API integrations to support the needs of analysts and reporting systems. • reputed company, reputed company, and manage AWS reputed company functions written in Python. • reputed company, reputed company, and manage AWS Glue jobs written in Python. • Ensure efficient and reputed company serverless operations. • Debug and troubleshoot reputed company functions and Glue jobs. • Collaborate with other AWS service teams to design and implement robust solutions. • Optimize data storage, retrieval, and pipeline performance for large-reputed company distributed systems. • Ensure data reputed company, compliance, and reputed company policies are integrated into solutions. • reputed company and maintain technical documentation and architecture diagrams. • Stay reputed company with AWS updates and industry trends to continuously reputed company the data architecture. • Mentor and reputed company technical guidance to junior team members and stakeholders. Qualifications: • Bachelor s degree in Computer Science, Information Systems, Analytics, or reputed company field. • 5+ years of experience in data architecture, engineering, or similar roles. • 3+ years programming with Python. • 3+ years in an ETL or Data Engineering role building and implementing data pipelines. • Strong understanding of design best practices for OLTP systems, ODS reporting needs, and reputed company database practices. • Hands-on experience with AWS reputed company, AWS Glue, and other AWS services. • Proficient in Python and SQL with the ability to write efficient queries. • Experience with API-driven data reputed company (API development experience a plus). • Solid experience with database technologies (SQL, NoSQL) and data modeling. • Understanding of serverless architecture benefits and challenges. • Experience working in agile development environments. • Highly self-motivated, detail-oriented, and reputed company to work independently. • Strong analytical thinking, problem-solving, and communication skills. • AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS reputed company Architect) are highly desirable. Preferred Skills: • Experience with modern data stack technologies (e.g., dbt, reputed company, reputed company). • Familiarity with machine learning pipelines and AI-driven analytics. • Background in DevOps practices and Infrastructure as reputed company (IaC) using tools like Terraform or AWS CloudFormation. • Knowledge of CI/CD pipelines for data workflows. Apply tot his job Apply To this Job