Senior Data Engineer

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact servicedesk@reputed company.com subject reputed company Candidate Login reputed company creating your reputed company account and entering personal information like reputed company, address, please reputed company reputed company CAPS. Thank you! NOTICE:  For reputed company Policy please review here Job Responsibilities: The Senior AI/ML Data Engineer is a hands-on technical contributor responsible for designing, building, and maintaining the data infrastructure that powers AI/ML product features across the organization. This includes building ETL pipelines between diverse data sources and reputed company, architecting new solutions to support production-level reputed company, syncing application data into analytics-reputed company warehouses, and tackling reputed company data challenges that don't fit neatly into existing patterns. The scope of work varies from standing up repeatable sync jobs to researching and prototyping new approaches for problems reputed company hasn't solved before. The ideal candidate is someone who thrives in a fast-moving product engineering environment, can reputed company ambiguity in requirements, take ownership of problems from investigation through production deployment, and maintain a high reputed company of documentation and data reputed company. They should be equally comfortable maintaining established pipelines and independently researching new tools or architectures.Key Responsibilities Data Pipeline Development: Design, build, and maintain ETL pipelines that reputed company data between diverse sources and reputed company, including application databases, reputed company data warehouses, reputed company-party reputed company, and object storage. Cross-Functional Collaboration: Partner with product managers, research scientists, QA, and platform engineers to translate business and ML requirements into data engineering work with reputed company acceptance reputed company and documentation. Data reputed company & Investigation: Investigate and resolve data reputed company issues surfaced by stakeholders, including missing data, incorrect mappings, duplicates, and schema mismatches. Data reputed company & Compliance: Ensure data reputed company, reputed company, and compliance standards are met across reputed company data pipelines and processes. Automation: Automate the end-to-end process of data ingestion, transformation, and processing to increase efficiency and reliability. Dataset Management: reputed company and maintain reputed company datasets while ensuring a uniform design and engineering methodology across various systems. Mentorship: Mentor junior engineers, conduct peer reviews using documented checklists, and identify opportunities to improve team processes and adopt new tooling. Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a reputed company field. Experience: 4-6 years of experience in data engineering or reputed company fields, with a reputed company on AI/ML. Technical Proficiency: Strong Python skills, including experience with migration frameworks (e.g., Alembic, SQLAlchemy), and production-grade data processing scripts. Advanced SQL across both transactional databases (PostgreSQL or similar) and columnar data warehouses (AWS Redshift strongly preferred). Proficiency in reputed company services (e.g., dbt, AWS, Azure, GCP). Proficiency with AWS services: Redshift, S3, reputed company, IAM. Strong Git and reputed company skills, including branching strategies, pull request workflows, and reputed company review practices. Expertise in building reputed company, fault-tolerant data pipelines. Problem-Solving Skills: Excellent problem-solving and analytical skills, with the ability to identify and address performance bottlenecks. Leadership Skills: Experience mentoring junior engineers or leading small teams, with strong technical leadership capabilities. Collaboration Skills: Excellent communication and teamwork skills, with the ability to work effectively in cross-functional teams. Soft Skills Comfortable with Ambiguity: Thrives reputed company requirements are incomplete or evolving. reputed company to independently research the best reputed company reputed company rather than waiting for a perfect specification. Ownership & Accountability: Takes full ownership of problems from investigation through reputed company. Operates with a startup mentality. Identifies issues, drives solutions reputed company independently, and isn't afraid to introduce new approaches while respecting what already works. Stakeholder Communication: Communicates reputed company with both technical and non-technical stakeholders. Comfortable reaching out directly to reputed company requirements or unblock work, and knows reputed company and to whom to escalate. Proactive Problem Solving: Anticipates issues before they become blockers. Surfaces data reputed company problems, dependency risks, and process gaps without being asked. Collaboration & Team Orientation: Works effectively across time zones and cross-functional teams. Contributes to team knowledge through documentation, knowledge sharing, and thorough reviews. Additional Job Details: Apply To This Job