Data Engineer📣 Job Ad

• Define, implement, and enforce DLP policies across endpoints, email, and cloud apps.
• Investigate data leakage attempts and coordinate with business units for remediation.
• Perform Shadow IT risk assessments using Netskope.
• Build compliance dashboards to track data protection KPIs.
• Deliver monthly DLP incidents and compliance reports.
• Implement data classification policies (Confidential, Restricted, etc.) via Bolden James.
• Apply digital watermarks on sensitive documents using Data Patrol.
• Configure and enforce DRM access control policies via Seclore.
• Manage secure file sharing, encryption, access control, and auditing via Kiteworks.
• Conduct user awareness training on secure data handling practices.

• Design and implement scalable batch and streaming data pipelines.
• Build and maintain data ingestion, transformation, and storage systems.
• Ensure data quality, consistency, lineage, and reliability across pipelines.
• Collaborate with ML and backend engineers to provide clean, usable datasets for training and inference.
• Optimize data storage and query performance for analytical and operational workloads.
• Implement data validation, monitoring, and alerting mechanisms.
• Manage schema evolution, versioning, and backward compatibility.
• Document data models, pipelines, and operational procedures.

• Production-grade data pipelines and ingestion workflows.
• Curated datasets and data models for analytics and ML.
• Data quality checks and monitoring dashboards.
• Reliable data storage and access patterns.
• Documentation for data architecture and pipelines.

• 3+ years of experience in data engineering or related roles.
• Strong experience with Python and SQL.
• Experience with data processing frameworks and tools.
• Familiarity with relational and analytical databases.
• Experience building and operating data pipelines in production environments.

• Experience with streaming platforms and real-time data processing.
• Familiarity with data lakes, warehouses, and columnar storage formats.
• Experience supporting ML or analytics platforms.
• Exposure to cloud or hybrid infrastructure environments.

• Data pipelines are stable, accurate, and scalable.
• High data availability and low pipeline failure rates.
• Data consumers can easily discover and trust datasets.
• Reduced data-related incidents and manual interventions.

• Strong ownership of data reliability.
• Attention to detail and data correctness.
• Clear documentation and communication.

We are seeking a dynamic Food & Beverage Seller to join our team and provide exceptional customer service while promoting our product offerings. The successful candidate will be responsible for actively engaging with customers to understand their needs, recommending suitable chocolate and sweets options, processing sales transactions accurately, and maintaining product displays to ensure optimal presentation. This role requires strong communication skills, product knowledge, and the ability to work in a fast-paced environment while consistently meeting sales targets and ensuring customer satisfaction.