Job Overview
We are seeking a Data Engineer to support and advance the organization’s data-driven and self-service analytics strategy. This role is responsible for designing, building, and maintaining scalable data pipelines and data platforms that transform raw data into trusted, analytics-ready assets.
The position plays a critical role in enabling enterprise reporting, governing Self-Service Intelligence SSI, and high-performance Power BI analytics. The successful candidate will work across hybrid data environments, ensuring data quality, reliability, security, and performance while empowering business users with timely and actionable insights.
Key Responsibilities
Design, develop, test, and maintain enterprise-grade data pipelines supporting analytics, reporting, and self-service BI use casesBuild and optimize ETL and ELT workflows using SQL Server Integration Services SSIS, Azure Data Factory, and equivalent data integration toolsEnhance and refactor existing SSIS packages to improve performance, scalability, and operational stabilityIntegrate data from multiple internal and external data sources across on-premises and cloud environmentsCollaborate with business stakeholders, analysts, and data consumers to translate reporting and analytical requirements into production-ready data solutionsDesign and maintain data models, semantic layers, and certified datasets to support Power BI dashboards and self-service analytics consumptionImplement data quality controls, validation rules, and monitoring mechanisms across data pipelinesSupport governed self-service analytics by delivering reusable, well-documented datasets that reduce dependency on IT teamsMonitor, troubleshoot, and resolve data ingestion, transformation, and performance issues impacting reporting usersImplement data warehousing structures, dimensional models, and performance-optimized schemas aligned with business usage patternsMaintain clear documentation of data flows, transformation logic, and architectural componentsRequirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related disciplineMinimum 3 years of hands-on experience in data engineering, BI engineering, or a closely related roleStrong proficiency in SQL with solid experience in query optimization and performance tuningHands-on experience with SQL Server Integration Services SSIS for enterprise ETL developmentExperience working with Microsoft data platforms including SQL Server and Power BIPractical experience enabling Self-Service BI or Self-Service Intelligence in enterprise environmentsExposure to cloud platforms such as Azure, AWS, or GCP, including services like Azure Data Factory, Redshift, or BigQueryGood understanding of data warehousing concepts, dimensional modeling, and star schema designKnowledge of data governance, security, and compliance practices in enterprise or regulated environmentsStrong analytical mindset with the ability to communicate technical concepts effectively to business stakeholdersPreferred Skills
Experience modernizing or migrating SSIS workloads to cloud-based orchestration toolsFamiliarity with Python, Scala, or Java for data processing or automationExperience supporting Power BI performance optimization and dataset certificationPlease send your detailed resume in MS Word format to resume@goldtecHRs.com with
Education LevelWorking experiencesEach employment backgroundReason for leaving each employmentLast drawn salaryExpected salaryDate of availability
