Senior Data Engineer
# Senior Data Engineer **ISHIR** · India · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[ETL-Developer]` `[Data-Warehouse-Engineer]` `[BI-Developer]` `[Senior-Data-Engineering]` `[Senior-Data-Engineer-Jobs]` `[Senior-Data-Engineer-Positions]` --- ### About the Role Senior Data Engineer Experience: 6–8 years Work Schedule: Must be able to provide some overlap with US Pacific Time for client meetings About the Role We are looking for a Senior Data Engineer with strong experience in SQL Server, ETL/ELT, data modeling, and data quality to build and maintain reliable data pipelines and a shared data foundation across multiple source systems. The ideal candidate will be comfortable working with complex and inconsistent data environments, legacy systems, flat-file/report-based integrations, and multiple databases. This role requires strong analytical and problem-solving skills, along with the ability to work independently and communicate data-related issues clearly to technical and business stakeholders. Key Responsibilities - Extract and integrate data from SQL databases, spreadsheets, ERP report exports, and other source systems . - Clean, standardize, match, and reconcile data across multiple systems. - Perform data quality checks, deduplication, validation, and reconciliation. - Design, develop, and maintain reliable ETL/ELT pipelines and data loads . - Build standardized data models that integrate data from multiple source systems. - Develop and maintain operational and reporting data models . - Create and maintain a data dictionary with agreed definitions, mappings, and business rules. - Develop reliable integration processes for systems with limited or no APIs using report exports, flat files, or other appropriate methods. - Write and optimize complex SQL queries, stored procedures, and database processes. - Perform SQL Server performance tuning and troubleshoot database-related issues. - Implement appropriate data masking, access controls, and least-privilege practices . - Investigate data discrepancies and identify root causes. - Collaborate with BI analysts and application developers to support reporting and application requirements. - Document data processes, mappings, and technical solutions. - Communicate technical findings and data issues clearly to stakeholders. Required Qualifications - 6–8 years of professional experience in Data Engineering . - Strong hands-on expertise with Microsoft SQL Server . - Advanced SQL skills, including query optimization and performance tuning . - Strong experience with ETL/ELT development and data integration . - Experience with one or more of the following: - SSIS - Azure Data Factory - Python - Strong understanding of data modeling for operational and reporting environments. - Hands-on experience with data quality processes, including: - Data cleansing - Data matching - Deduplication - Data validation - Data reconciliation - Experience integrating data from ERP systems through reports, exports, flat files, or similar methods . - Experience with data masking, security, and access controls . - Strong analytical, troubleshooting, and problem-solving skills. - Ability to work independently and manage data engineering tasks with minimal supervision. - Strong written and verbal communication skills. Preferred Qualifications - Experience creating Power BI data models . - Experience working with inventory, procurement, supply-chain, or ERP data . - Experience in agriculture, food, manufacturing, or related industries . - Experience working directly with client-side IT teams and business stakeholders . - Experience working with legacy systems and highly inconsistent or fragmented data. What You'll Bring - Strong ownership and attention to detail. - A structured approach to solving complex data problems. - Ability to work effectively with messy and incomplete data. - Ability to translate technical data issues into clear business explanations. - A proactive approach to identifying data-quality and integration challenges. - Ability to collaborate effectively with technical and non-technical stakeholders. If you are a hands-on Senior Data Engineer with strong SQL Server, ETL, data modeling, and data-quality experience, we’d love to hear from you. Originally posted on Himalayas
- Data-Engineer
- ETL-Developer
- Data-Warehouse-Engineer
- BI-Developer
- Senior-Data-Engineering
- Senior-Data-Engineer-Jobs
- Senior-Data-Engineer-Positions
Наблюдалась 2026-10-12, впервые 2026-10-12, источник — Himalayas (JSON API).