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8 - 13 years

10 - 20 Lacs

Chennai, Bengaluru, Kochi

Hybrid

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Skill - Azure Data Engineer Designation- Module Leader/Technical Leader/ Technical Architect Experience - 8-15 years Location - Chennai, Kochi and Bangalore Roles & Responsibilities Design, develop, and maintain robust data pipelines and ETL processes. Implement and optimize data storage solutions in data warehouses and data lakes. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. Utilize Microsoft Azure tools for data integration, transformation, and analysis. Develop and maintain reports and dashboards using Power BI and other analytics tools. Ensure data integrity, consistency, and security across all data systems. Optimize database and query performance to support data-driven decision-making. Qualifications: 8-15 years of professional experience in data engineering or a related field. Profound expertise in SQL, T-SQL, database design, and data warehousing principles. Strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, Data Fabric and Azure Data Lake. Proficiency in Python, PySpark, and PySQL for data processing and analytics tasks. Experience with Power BI and other reporting and analytics tools. Demonstrated knowledge of OLAP, data warehouse design concepts, and performance optimizations in database and query processing. Excellent problem-solving, analytical, and communication skills. Interested candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

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6 - 8 years

11 - 12 Lacs

Bengaluru

Work from Office

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Senior Native Hana Developer with 5-8 years of experience with good data modelling skills, building complex calculation views and SQL scripting using Table Functions and stored procedures. EXPERIENCE 6-8 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): databricks, SQL, Azure Data Factory

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3 - 6 years

8 - 12 Lacs

Chennai, Pune

Work from Office

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ROLE The Cloud Engineer will lead, evaluate, implement and maintain cloud services for all projects for an APAC based Investment bank. Candidate would be required to setup a new environment, configuration, data lake/ mesh, connect them together. KEY ACCOUNTABILITIES Design, build and support complex cloud-based solutions using Azure (must have) Enable applications modernization and migration to Azure, focusing on robustness, scalability, performance, flexibility, security, and automation. Understand and apply security standards / guidelines / tools to adhere to the required cloud controls. Create detailed Azure technical design from architecture solution to ensure that the solution meets requirements and are aligned to architecture principles and technology stack. Support SIT, UAT, release, and production operations as needed, including troubleshooting, performance tuning, etc. Drive evaluation and adoption of new cloud technologies at architecture board. Establish a culture and environment where building, testing, and releasing Infrastructure as Code (IaC) could happen rapidly and frequently. Azure SQL and NoSQL Database administration for azure SQL MI, SQL Server, PostgreSQL single server, Flexible servers and Cosmos DB. Azure Databricks, Data Factory, Synapse and Azure Data Lake resource provisioning and administration. Automate deployment, provisioning, and management of multiple Azure infrastructure components using CI/CD pipelines, Terraform and Ansible, including but not limited to virtual networks and subnets, VMs, storage, containers, serverless, VDI, logging, and monitoring. Perform regular maintenance for all Azure services including upgrade, patch, backup / restore, troubleshoot, and remediation. Drive DevOps (CI/CD) continuous improvements to automate development and release management. Knowledge on Microsoft Power Apps environments and administration. QUALIFICATIONS / EXPERIENCE Recognized degree or higher in Computer Science or related Engineering fields. At least 5 years of demonstrated experience in designing / implementing Azure services and technologies for enterprise projects, including Azure AD, AKS, ASR, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Cosmos DB, Functions, Azure DevOps, etc; experience or knowledge with GCP is a plus. Demonstrated automation experience using PowerShell, Azure Resource Manager (ARM), and Terraform. Strong programming skills using Python, GO, PHP, Bash. Certifications are encouraged and demonstrate continuous learning of technologies essential for this role e.g. Azure (data & analytics, infrastructure & security) certifications. OTHER TRAITS Positive attitude and collaborative mindset. Impeccable problem-solving and analytical skills. Highly motivated to keep abreast with the latest development in cloud technology and to acquire deep technical knowledge and skills. Excellent communication, presentation and interpersonal skills. Strong engineering mindset.

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