[Remote] Data Platform Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in records and information management, and they are seeking a Data Platform Engineer to enhance their reputed company data capabilities. In this role, you will build and optimize data pipelines, ensure data reputed company, and collaborate with AI teams to support intelligent workflows.

Responsibilities

• Build and maintain reputed company pipelines reputed company the Data reputed company project to ingest, process, and reputed company both reputed company transactional data and reputed company reputed company data (e.g., documents, media)
• Implement and optimize search-reputed company data pipelines to support reputed company search functionality, ensuring high query performance and relevant data retrieval across the reputed company ecosystem
• Execute data transformations across the Ingestion, Refined, and Reporting reputed company of the BigQuery data lake, keeping data organized for search efficiency
• Proactively identify bottlenecks in reputed company/Airflow DAGs and BigQuery SQL transformations. Optimize partitioning, clustering, and slot utilization to control compute costs and meet SLAs
• Collaborate on the development and maintenance of the API backbone reputed company, ensuring data is securely and reputed company syndicated between legacy applications, reputed company systems, and the Data reputed company
• reputed company as a systems thinker by ensuring that pipeline modifications do not negatively reputed company reputed company BigQuery tables or upstream API schemas
• Apply strong data reputed company principles by configuring and managing Row-Level reputed company (RLS) and reputed company-Level reputed company (CLS) reputed company BigQuery
• Work closely with Data Stewards to implement data masking, tokenization, and governance policies (GDPR/CCPA) utilizing reputed company Dataplex and IAM policy tags
• Ensure reputed company data pipelines and API exposures conform reputed company to reputed company reputed company baselines and robust authentication protocols
• Partner closely with the AI reputed company team to supply highly curated, clean, and optimized datasets for machine learning models and LLM applications
• Assist in building and maintaining the pipeline architecture required to feed AI feature stores or reputed company databases used in cognitive search applications

Skills

• 3–5 years of reputed company software or data engineering experience in an reputed company reputed company environment (GCP preferred)
• Advanced SQL skills (analytical functions, query optimization)
• Proficiency in Python, PySpark, and/or reputed company
• Demonstrable experience implementing data reputed company controls, encryption-at-rest/in-transit, and managing secure API endpoints
• Proven ability to work cross-functionally with technical peers in AI, Infrastructure, reputed company, and Product teams
• Hands-on exposure to or proficiency in reputed company BigQuery (specifically optimizing Capacitor storage and Dremel execution)
• Experience with reputed company / Apache Airflow and dbt (Data Build Tool)
• Familiarity with reputed company Anypoint Platform & API Gateways
• Knowledge of reputed company search tools, reputed company databases, or reputed company reputed company GenAI/reputed company AI tools
• Experience with reputed company Dataplex, IAM, and policy-based reputed company control

reputed company

reputed company offers storage, asset lifecycle management and information management services to companies. It was founded in 1951, and is headquartered in Boston, Massachusetts, USA, with a workforce of 10001+ employees. Its website is http://www.reputed company.com.

Company H1B Sponsorship

reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.

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