Senior Data & Analytics Engineer

Job Requirements We are seeking a detail-oriented, highly analytical Data & Analytics Specialist to manage critical data quality operations, bridge MVP capabilities, and maintain strict data integrity across our pipeline ecosystem. In this role, you will lead manual data cleaning, supplier input normalization, and automated telemetry monitoring.

Core Requirements Advanced Microsoft Excel: Expert mastery of advanced formulas, complex data manipulation, pivot tables, auditing tools, and structured data handling for manual cleaning and rapid sheet preparation. SQL & Database Management: Deep proficiency in SQL for querying relational databases, data extraction, structural analysis, and verifying database security/logic protocols.

Specialized Requirements ETL & Data Warehousing: Hands-on experience structuring, auditing, and executing ETL/ELT pipelines, transformation logic, and data staging workflows. Cloud Data Warehouse (BigQuery): Expertise in using Google BigQuery for large-scale data querying, auditing, and high-performance analytical processing. Scripting & Statistical Languages: Proficiency in Python alongside exposure to statistical modeling and scripting environments such as R, SAS, or MATLAB to automate data processing, statistical validation, and anomaly detection.

Key Responsibilities

• Data Cleaning, Normalization & Pipeline Readiness

Supplier Data Normalization: Standardize, clean, and reformat disparate supplier flat files and complex raw sheets to ensure flawless ingestion through pipeline guardrails. Data Gap Analysis: Review raw and incoming datasets to identify missing values, structural discrepancies, or formatting errors prior to pipeline execution. MVP Acceleration: Execute high-impact, bridge-phase data operations to rapidly validate and accelerate minimum viable product (MVP) initiatives.

• System Security, Auditing & Access Control

RBAC Enforcement & Auditing: Audit system logic and enforce strict Role-Based Access Control (RBAC) protocols to maintain complete isolation between competing supplier datasets. Logic & Integrity Checks: Conduct routine audits of underlying system security, data validation rules, and business logic to guarantee operational compliance.

Work Experience 57years