[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All IBM jobs](https://jobs.opennash.com/companies/ibm/) · [Search jobs](/search/) IBM · Hyderabad, IND # Data Engineer-Data Platforms-Azure Hyderabad, IND Data & Analytics Listed on IBM’s official careers site. Posted September 25, 2026. Check that it is still open and apply there. [Apply on IBM’s careers site →](https://ibm.dejobs.org/jobs/18E6DE4B85424BBAB15190D936D6F1BA/) [OpenNash Jobs](https://jobs.opennash.com/) / [IBM](https://jobs.opennash.com/companies/ibm/) / Data Engineer-Data Platforms-Azure ## Job description ### Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. ### Your role and responsibilities As a Data Engineer specializing in Data Platforms on Azure, you will advise on, develop, and maintain data engineering solutions on the Azure Cloud ecosystem. You will design, build, and operate batch and real-time data pipelines using various Azure services. Your primary responsibilities will include: ### Design and Build Data Pipelines - Design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. ### Develop Data Layer - Design, build, and operate the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB, ensuring seamless data integration and management. ### Leverage Azure Data Platform - Utilize Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB, to develop and maintain scalable data solutions. ### Implement Open Source Technologies - Apply expertise in open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala to enhance data engineering solutions. ### Ensure Data Quality - Collaborate to ensure high-quality data delivery, adhering to data governance and compliance standards. Required technical and professional expertise ### Azure Data Engineering Expertise - Experience with designing, building, and operating batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. ### Data Layer Development - Experience in designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB, ensuring seamless data integration and management. ### Azure Data Platform Proficiency - Experience with Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. ### Open Source Technologies - Experience with open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala in data engineering solutions. ### Data Quality Assurance - Experience in ensuring high-quality data delivery, adhering to data governance and compliance standards in a cloud-based data engineering environment. Preferred technical and professional experience ### Proficiency in Apache Kafka - Experience with Managed Streaming for Apache Kafka is beneficial for enhancing real-time data pipeline capabilities. ### Knowledge of Azure Functions - Familiarity with Azure functions with Python is advantageous for developing scalable data solutions. ### Exposure to dbt - Experience with dbt is valuable for applying data transformation techniques in data engineering solutions. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. ## At a glance - Posted by the employer: Sep 25, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 24 days - Location: Hyderabad, IND[Apply on IBM’s careers site →](https://ibm.dejobs.org/jobs/18E6DE4B85424BBAB15190D936D6F1BA/) ## More jobs at IBM ### [Data Engineer-Data Modeling](https://jobs.opennash.com/companies/ibm/jobs/d543707eaa11f259917e/) Hyderabad, IND ### [Data Engineer-Data Platforms-Databricks](https://jobs.opennash.com/companies/ibm/jobs/79cd0747f0a04eec458e/) Hyderabad, IND ## Similar jobs at other companies ### [Data Engineer - Industrial Data & AI Platforms](https://jobs.opennash.com/companies/accenture/jobs/f6a8ad77f7714a422651/) Accenture ### [Principal Software Engineer - AI/ML Data Platforms - Executive Director](https://jobs.opennash.com/companies/jpmorganchase/jobs/186fe02013991714b672/) JPMorganChase · LONDON, United Kingdom ### [Software Engineer III – AI/ML Data Platforms (Python, Cloud Native)](https://jobs.opennash.com/companies/jpmorganchase/jobs/d8e3401dff9b78899c6b/) JPMorganChase · LONDON, United Kingdom ### [Vice President, Platforms & Data Services - Data Product Manager - Transformation](https://jobs.opennash.com/companies/citigroup/jobs/377e81589759f8a50b7a/) Citigroup · London United Kingdom ### [Software Engineer — Data Platforms, IS&T Ai & Data Platforms](https://jobs.opennash.com/companies/apple/jobs/de41f0fca13d212cfe17/) Apple · Shanghai, China [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)