Job Summary We are seeking a skilled AWS Data Engineer to join our team,
specializing in building, and maintaining contemporary 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 Visualization:
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. ##LI-DNI
Qualifications
Job Summary We are

📌 Financial Systems 170381 (India)
🏢 ADP
📍 India