Job Summary

We are seeking a skilled AWS Data Engineer to join our team, specializing in building, and maintaining up-to-date data pipelines using ETL/ELT methodologies. The ideal candidate will have extensive experience in transforming unstructured data into structured datasets, creating CI/CD automation, and ensuring high-quality, validated data for analytical purposes.

Key Responsibilities

- Data Pipeline Development: Design, develop, and maintain robust ELT pipelines using databricks.

- Data Modeling Transformation: Apply advanced SQL techniques (CTEs, Window functions, joins, aggregations) to build clean, actionable, and scalable data models.

- Automation CI/CD: Develop and maintain automated CI/CD deployment pipelines for dbt projects using Git to ensure smooth production deployments.

- Data Quality Validation: Perform comprehensive validation between source and target tables, utilizing Q-Test for test case creation, execution, and defect tracking.

- Automation: Python scripts for validation and automation.

- Version Control: Git, Pull requests, Code reviews.

- Data Migration: Hands-on experience with migrating data between heterogeneous systems (Excel, Flat Files,



XML, JSON) and SQL servers.

- Analytical Skills: Strong problem-solving skills with the ability to adapt quickly in fast-paced environments.

- Production Support: Troubleshoot and resolve production issues, data discrepancies, and job failures to ensure data reliability.

- Stakeholder Collaboration: Coordinate with business users and stakeholders to gather requirements and translate them into technical solutions.

- Documentation: Create technical documentation, demo documents, and wiki pages for all developed jobs and queries.

Preferred Qualifications

- Cloud Platform: AWS

- Databricks

- Oracle PL/SQL (Nice to have)

- Oracle EBS AR (Nice to Have)

- Develop and deploy Agentic AI solutions, including autonomous workflows, AI agents, and GenAI-powered automation tools.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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