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Data Engineer
techcarrot FZ LLC
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted 5 days ago
About this role
tech carrot is a leading global IT service provider and partner in digital transformation offering cost-effective, customer-centric, and cutting-edge digital solutions to clients worldwide. founded in 2016, tech carrot is headquartered in Dubai, UAE. Being a people-oriented organization with a philosophy of "We care" as our core DNA, tech carrot continually focuses on new initiatives and strategies to increase overall employee experience by providing a plethora of platforms to drive employee development, overall efficiency, increase overall employee satisfaction. With over 200+ technology specialists who are engaged and motivated we are growing at 20% a year-on-year since inception. We offer cutting-edge services across multiple industries and deliver seamless customer experiences, ensuring high value and rapid growth for our clients. tech carrot has earned wide recognition as a reliable partner for organizations across the globe because of its professional approach and strong delivery capabilities. The Middle East and Africa are handled by UAE operations, while APAC is handled by India operations. We have also expanded in the USA and the Netherlands as well. We are looking for a Data Engineer to build, enhance, and support scalable data solutions on Azure. The role involves developing data pipelines, integrating SAP and non-SAP source systems, implementing data transformations in Databricks, and delivering trusted datasets for reporting, analytics, and business intelligence. The ideal candidate should have strong experience in Azure Data Factory, Databricks, SQL, and Python, along with a passion for solving complex data challenges. Key Responsibilities Data Ingestion & Integration • Develop and maintain data ingestion pipelines using Azure Data Factory (ADF). • Integrate data from SAP, databases, APIs, flat files, and cloud applications. • Implement incremental and CDC-based data loading patterns. • Troubleshoot data integration and pipeline issues. Data Transformation & Processing • Develop PySpark and SQL-based transformations in Azure Databricks. • Build and maintain Bronze, Silver, and Gold layer datasets. • Cleanse, validate, and enrich data to meet business requirements. • Optimize jobs for performance, scalability, and cost efficiency. Data Warehousing & Modeling • Support implementation of enterprise data models and Common Data Models (CDM). • Develop curated datasets for reporting and analytics. • Ensure data consistency across multiple business domains. Analytics Enablement • Deliver trusted datasets for Power BI and self-service analytics. • Work closely with Business Analysts, BI Developers, and Data Architects to understand data requirements. • Support report and dashboard performance improvements. Governance & Quality • Implement data quality checks and validation frameworks. • Adhere to data governance standards and security policies. • Document data flows, business rules, and technical processes. Support & Operations • Monitor scheduled jobs and data pipelines. • Investigate and resolve production incidents. • Perform root cause analysis and implement corrective actions. • Participate in deployment and release activities. Requirements Preferred Skills · SAP ECC / SAP S/4HANA data integration · REST API integrations · Event-driven architectures · Unity Catalog · Microsoft Fabric · Retail or Automotive domain experience Experience · Overall 5-8 years of experience , 3-6 years of Data Engineering experience. · 2+ years of experience with Azure Databricks. · 2+ years of experience with Azure Data Factory. · Experience building enterprise-scale cloud data pipelines. Technical Skills • Azure Data Factory (ADF) • Azure Databricks • Python and PySpark • SQL • Azure Data Lake Storage (ADLS) • Delta Lake Data Engineering Concepts • ETL / ELT development • Data warehousing • Medallion Architecture • Incremental loading • Data modeling • Data quality management Reporting & Analytics • Power BI • Dataset optimization • Dimensional modeling Version Control & DevOps • Git • Azure DevOps • CI/CD concepts Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.