Azure Data Engineer in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Title : Azure Data Engineer (7+ Years Experience)Location : Hyderabad - HybridExperience : 7+ YearsEmployment Type : Full-TimeJob Summary:We are looking for an experienced Azure Data Engineer with 7+ years of expertise in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong experience with Azure data services, ETL/ELT pipelines, cloud data warehousing, big data processing, and SQL/Python development. The role involves collaborating with cross-functional teams to build reliable, secure, and high-performance data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :- Design, develop, and maintain scalable data pipelines using Azure data services.- Build and optimize ETL/ELT processes using Azure Data Factory (ADF).- Develop data integration solutions using Azure Databricks, PySpark, and Spark SQL.- Design and implement data lakes using Azure Data Lake Storage Gen2 (ADLS).- Develop and maintain cloud-based data warehouse solutions using Azure Synapse Analytics.- Create and optimize SQL queries, stored procedures, and database objects.- Work with structured, semi-structured, and unstructured data from multiple sources.- Implement data quality, validation, governance, and security best practices.- Optimize data processing performance and troubleshoot pipeline failures.- Automate deployments using Azure DevOps and CI/CD pipelines.- Monitor Azure resources and ensure high availability and performance.- Collaborate with business analysts, data scientists, and application teams to deliver data solutions.- Prepare technical documentation and provide production https://jobeax.com/link/SmIqDhLyzxAjrjGX Skills :1. Azure Services :- Azure Data Factory (ADF)- Azure Databricks- Azure Synapse Analytics- Azure Data Lake Storage Gen2 (ADLS Gen2)- Azure SQL Database, Azure Blob Storage, Azure Key Vault, Azure Monitor / Log Analytics. 2. Programming & Databases :- SQL (Advanced)- Python- PySpark- Spark SQL, T-SQL.3. Big Data Technologies :- Apache Spark- Delta Lake- Data Lake Architecture- Data Warehousing Concepts.4. DevOps & Version Control :- Azure DevOps, Git, CI/CD Pipelines.5. Methodology :- Agile/Scrum https://jobeax.com/link/JpIS43ZQHPU2uNnC Qualifications :- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.- 7+ years of experience in Data Engineering.- Minimum 4+ years of hands-on experience with Microsoft Azure Data Platform.- Strong experience with Azure Data Factory and Azure Databricks.- Hands-on experience with Azure Synapse Analytics.- Strong SQL and Python programming skills.- Experience in building enterprise-scale ETL/ELT pipelines.- Experience working with Azure Data Lake Storage.- Good understanding of cloud architecture and distributed data https://jobeax.com/link/GtFiATZzFkWlSrud Qualifications :- Microsoft Azure Data Engineer Associate certification.- Experience with Microsoft Fabric.- Experience with Delta Lake and Lakehouse architecture.- Knowledge of Power BI integration.- Experience with Kafka or Event Hubs for streaming data.- Exposure to Snowflake or other cloud data warehouses.- Experience working in banking, healthcare, insurance, or retail https://jobeax.com/link/AiymxrwHih5ExbK8 to Have :- Microsoft Fabric- Azure Functions- Logic Apps- Azure Event Hubs- Azure Stream Analytics- Docker- Kubernetes- Terraform, Purview, Power https://jobeax.com/link/HAkYMlSFGR17VY52 Skills :- Strong analytical and problem-solving skills.- Excellent communication and stakeholder management.- Ability to work independently and in a collaborative team environment.- Strong documentation and presentation skills.- Ability to mentor junior engineers and participate in technical design https://jobeax.com/link/6uKezUCggB8PY5Iq Requirements :- Total IT Experience : 7+ Years- Azure Data Engineering : 4+ Years- Azure Data Factory : 4+ Years- Azure Databricks & PySpark : 3+ Years- Azure Synapse Analytics: 2+ Years- SQL Development : 5+ Years- Python Development : 3+ Years (ref:hirist.tech)
About the Role:KPI Partners is seeking a skilled Azure Data Engineer with expertise in data engineering, cloud solutions, and experience with data pipeline development using Azure services. You will play a key role in designing and implementing scalable data solutions that drive insights and business decisions for our https://jobeax.com/link/OBSYxKmspgkYWOcn ...
About the Role:KPI Partners is seeking a skilled Azure Data Engineer with expertise in data engineering, cloud solutions, and experience with data pipeline development using Azure services. You will play a key role in designing and implementing scalable data solutions that drive insights and business decisions for our https://jobeax.com/link/OBSYxKmspgkYWOcn ...
... Technology we are looking for a proven Hyperconverged Infrastructure (HCI) Engineer to support and evolve EY's HCI platforms globally. The role will provide engineering, operational support, automation and lifecycle management for Microsoft Azure Stack HCI environments and associated technologies. The successful candidate ...
... including reviewing third-party/vendor-built data models and presenting recommendations to executive stakeholders - Azure Solutions Architect Expert, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate) is required - Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or ...
... Azure Migrate, AzCopy, Azure Storage Explorer, and other appropriate tools for workload and data migration.- Support application modernization and migration to Azure services such as App Service, Azure Functions, Azure SQL, Cosmos DB, Event Hubs, and Service Bus.- Support database migration activities using Azure Database ...
... - Technical Expertise with Microsoft Azure including foundational services such as Virtual Networks, ExpressRoute, Virtual Machines, Storage, Load Balancer, Azure Active Directory, App Service, Azure Database, AKS, etc. - Deployment and administration of Cloud monitoring services and tools - Broad experience in developing ...
... with real users behind them.- Production Azure experience : identity, secrets, app hosting, pipelines.- Strong SQL (SQL Server and/or Postgres) and multi-tenant data-access design.- Auth fundamentals : OAuth2/OIDC, JWT.- Self-directed - you'll often be the only engineer on the problem.- Bonus : US healthcare data (claims, ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
... Directory/LDAP Experience with Network Applications, SQL Server, ODBC NET, SQL Server Mathematics background to develop implementation of signal processing or data analysis algorithms Proficiency with web/cloud application development Certification as a software developer, architect or Azure development Experience with design ...
... managing large-scale data pipelines - Strong proficiency in Python, PySpark, Spark, Databricks, Delta Lake, PowerBI and SQL, with hands-on experience using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering ...
... on-premises to cloud Spark code optimization and Medallion Architecture. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus). AWS/GCP/Azure Data Engineer Certification.
... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, security, and compliance frameworks using Microsoft ...
... tenant isolation, RBAC) - Proficiency with one or more public cloud providers such as Azure, AWS or GCP - Experience building foundations for modern analytics/data platforms and cloud data warehouses (e.g., Snowflake, Azure Synapse, Microsoft Fabric) - Experience with data pipeline tooling and patterns (e.g., Azure Data ...
... Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) - Relevant data engineering or big data certifications Soft ...
... long-term https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality ...
... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...
... experience in data engineering or data application development (ETL/ELT/BI) - 2+ years of experience in cloud-based data platform development - Expertise in building Azure-based data pipelines, including: - Azure Data Factory / Synapse - DataBricks / Synapse Spark Pool - Cosmos DB - Azure Data Lake Storage (ADLS) - Dedicated SQL ...